pipeline_tag stringclasses 48
values | library_name stringclasses 198
values | text stringlengths 1 900k | metadata stringlengths 2 438k | id stringlengths 5 122 | last_modified null | tags listlengths 1 1.84k | sha null | created_at stringlengths 25 25 | arxiv listlengths 0 201 | languages listlengths 0 1.83k | tags_str stringlengths 17 9.34k | text_str stringlengths 0 389k | text_lists listlengths 0 722 | processed_texts listlengths 1 723 | tokens_length listlengths 1 723 | input_texts listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ntvcie/gemma_Vinh_test_04 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:07:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
43,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | thaboe01/mt5-shona | null | [
"transformers",
"safetensors",
"mt5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:07:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mt5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mt5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pus... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mt5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Th... |
null | transformers | # Mgpt: A Fine-tuned Mixtral Model
Mgpt is a fine-tuned version of the Mixtral model, optimized for various natural language processing tasks. It leverages the power of large-scale language models to generate high-quality text outputs for a wide range of applications.
## Overview
Mgpt is built upon the Mixtral model... | {"license": "apache-2.0"} | Revanthraja/MGPT | null | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:11:21+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #mistral #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us
| # Mgpt: A Fine-tuned Mixtral Model
Mgpt is a fine-tuned version of the Mixtral model, optimized for various natural language processing tasks. It leverages the power of large-scale language models to generate high-quality text outputs for a wide range of applications.
## Overview
Mgpt is built upon the Mixtral model... | [
"# Mgpt: A Fine-tuned Mixtral Model\n\nMgpt is a fine-tuned version of the Mixtral model, optimized for various natural language processing tasks. It leverages the power of large-scale language models to generate high-quality text outputs for a wide range of applications.",
"## Overview\n\nMgpt is built upon the ... | [
"TAGS\n#transformers #pytorch #safetensors #mistral #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us \n",
"# Mgpt: A Fine-tuned Mixtral Model\n\nMgpt is a fine-tuned version of the Mixtral model, optimized for various natural language processing tasks. It leverages the power of larg... | [
38,
60,
58
] | [
"TAGS\n#transformers #pytorch #safetensors #mistral #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us \n# Mgpt: A Fine-tuned Mixtral Model\n\nMgpt is a fine-tuned version of the Mixtral model, optimized for various natural language processing tasks. It leverages the power of large-scal... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_dataup_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0_dataup_iter_2](https://huggingface.co/ShenaoZ/0.0_dataup_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ShenaoZ/0.0_dataup_dataset"], "base_model": "ShenaoZ/0.0_dataup_iter_2", "model-index": [{"name": "0.0_dataup_iter_3", "results": []}]} | ShenaoZ/0.0_dataup_iter_3 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:ShenaoZ/0.0_dataup_dataset",
"base_model:ShenaoZ/0.0_dataup_iter_2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-... | null | 2024-04-05T09:11:30+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ShenaoZ/0.0_dataup_dataset #base_model-ShenaoZ/0.0_dataup_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.0_dataup_iter_3
This model is a fine-tuned version of ShenaoZ/0.0_dataup_iter_2 on the ShenaoZ/0.0_dataup_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# 0.0_dataup_iter_3\n\nThis model is a fine-tuned version of ShenaoZ/0.0_dataup_iter_2 on the ShenaoZ/0.0_dataup_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ShenaoZ/0.0_dataup_dataset #base_model-ShenaoZ/0.0_dataup_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# 0.0_dat... | [
94,
54,
7,
9,
9,
4,
155,
5,
44
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ShenaoZ/0.0_dataup_dataset #base_model-ShenaoZ/0.0_dataup_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# 0.0_dataup_it... |
reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | MrPrjnce/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-05T09:11:40+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nT... | [
34,
41,
17
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add you... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | selvamathan-rampedup/RampedUp-Mistral-7B-v0.6.1.1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:12:16+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
null | transformers |
# Uploaded model
- **Developed by:** shivamklr
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | shivamklr/mistral-instruct-lora-model | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:12:48+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: shivamklr
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: shivamklr\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: shivamklr\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7... | [
70,
87
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: shivamklr\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-inst... |
text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dutch_unenhanced_checkpoint
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/spee... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "dutch_unenhanced_checkpoint", "results": []}]} | mikhail-panzo/dutch_unenhanced_checkpoint | null | [
"transformers",
"tensorboard",
"safetensors",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"base_model:microsoft/speecht5_tts",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:13:14+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| dutch\_unenhanced\_checkpoint
=============================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4630
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\... | [
52,
149,
5,
47
] | [
"TAGS\n#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch... |
text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/realcartoon3d_v10 | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-05T09:13:23+00:00 | [
"1910.09700"
] | [] | TAGS
#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (N... | [
"TAGS\n#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a diffusers model that has been pushed on the Hub. This model card has been automa... | [
37,
6,
4,
76,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lordberre/globy_mistral_instructv0.2-model_v2.5 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:13:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-generation | transformers | **Model Card**
**Model Name:** Mia-1B
**Model Type:** Text Generation
**Owner:** MysteriousAI
**Description:**
Mia-1B is an advanced text generation model developed by MysteriousAI. It leverages state-of-the-art AI technologies to generate coherent and contextually relevant text across various domains and topics. T... | {"language": ["en", "hi"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["OEvortex/vortex-mini"], "base_model": "OEvortex/HelpingAI-Lite", "pipeline_tag": "text-generation"} | MysteriousAI/Mia-1B | null | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"llama",
"text-generation",
"mlx",
"conversational",
"en",
"hi",
"dataset:OEvortex/vortex-mini",
"base_model:OEvortex/HelpingAI-Lite",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
... | null | 2024-04-05T09:14:21+00:00 | [] | [
"en",
"hi"
] | TAGS
#transformers #pytorch #onnx #safetensors #llama #text-generation #mlx #conversational #en #hi #dataset-OEvortex/vortex-mini #base_model-OEvortex/HelpingAI-Lite #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Card
Model Name: Mia-1B
Model Type: Text Generation
Owner: MysteriousAI
Description:
Mia-1B is an advanced text generation model developed by MysteriousAI. It leverages state-of-the-art AI technologies to generate coherent and contextually relevant text across various domains and topics. The model is aime... | [] | [
"TAGS\n#transformers #pytorch #onnx #safetensors #llama #text-generation #mlx #conversational #en #hi #dataset-OEvortex/vortex-mini #base_model-OEvortex/HelpingAI-Lite #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
87
] | [
"TAGS\n#transformers #pytorch #onnx #safetensors #llama #text-generation #mlx #conversational #en #hi #dataset-OEvortex/vortex-mini #base_model-OEvortex/HelpingAI-Lite #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
null | null |
# reach-vb/gemma-1.1-7b-it-Q6_K-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:14:45+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q6_K-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
"# reach-vb/gemma-1.1-7b-it-Q6_K-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q6_K-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through... | [
24,
85,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q6_K-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n\n... |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "cognitivecomputations/samantha-1.2-mistral-7b"} | Erik/adapter-super_greta-8bit-mistral-7b-conversacion-es | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:cognitivecomputations/samantha-1.2-mistral-7b",
"region:us"
] | null | 2024-04-05T09:16:21+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-cognitivecomputations/samantha-1.2-mistral-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-cognitivecomputations/samantha-1.2-mistral-7b #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n... | [
43,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
16
] | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-cognitivecomputations/samantha-1.2-mistral-7b #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Fin... |
null | transformers |
### Official implementation of PCME++ pre-trained model on CC3M, CC12M and RedCaps.
Zero-shot ImageNet-1k top-1 accuracy: 34.642% (slightly better than the paper score, 34.22%)
- Paper: https://openreview.net/forum?id=ft1mr3WlGM
- GitHub: https://github.com/naver-ai/pcmepp
```python
import requests
from PIL import ... | {"license": "mit", "tags": ["pytorch_model_hub_mixin", "model_hub_mixin"]} | SanghyukChun/PCMEPP-ViT-B-16-CC3M-12M-RedCaps | null | [
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:16:23+00:00 | [] | [] | TAGS
#transformers #safetensors #pytorch_model_hub_mixin #model_hub_mixin #license-mit #endpoints_compatible #region-us
|
### Official implementation of PCME++ pre-trained model on CC3M, CC12M and RedCaps.
Zero-shot ImageNet-1k top-1 accuracy: 34.642% (slightly better than the paper score, 34.22%)
- Paper: URL
- GitHub: URL
| [
"### Official implementation of PCME++ pre-trained model on CC3M, CC12M and RedCaps.\n\nZero-shot ImageNet-1k top-1 accuracy: 34.642% (slightly better than the paper score, 34.22%)\n\n- Paper: URL\n- GitHub: URL"
] | [
"TAGS\n#transformers #safetensors #pytorch_model_hub_mixin #model_hub_mixin #license-mit #endpoints_compatible #region-us \n",
"### Official implementation of PCME++ pre-trained model on CC3M, CC12M and RedCaps.\n\nZero-shot ImageNet-1k top-1 accuracy: 34.642% (slightly better than the paper score, 34.22%)\n\n- P... | [
39,
70
] | [
"TAGS\n#transformers #safetensors #pytorch_model_hub_mixin #model_hub_mixin #license-mit #endpoints_compatible #region-us \n### Official implementation of PCME++ pre-trained model on CC3M, CC12M and RedCaps.\n\nZero-shot ImageNet-1k top-1 accuracy: 34.642% (slightly better than the paper score, 34.22%)\n\n- Paper: ... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tanumoyghosh10/mpt-7b-lora-v0 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:16:32+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "projecte-aina/aguila-7b"} | Andresmfs/aguila-es-inclusivo-adapters | null | [
"peft",
"tensorboard",
"arxiv:1910.09700",
"base_model:projecte-aina/aguila-7b",
"region:us"
] | null | 2024-04-05T09:17:04+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #tensorboard #arxiv-1910.09700 #base_model-projecte-aina/aguila-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #tensorboard #arxiv-1910.09700 #base_model-projecte-aina/aguila-7b #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetun... | [
38,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
13
] | [
"TAGS\n#peft #tensorboard #arxiv-1910.09700 #base_model-projecte-aina/aguila-7b #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [opt... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma
This model is a fine-tuned version of [xlm-roberta-base](https:... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma", "results": []}]} | haryoaw/scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:17:21+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-PR-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_gamma
====================================================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.3453
* Accuracy: 0.4877
* F1: 0.486... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 11423\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tr... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n*... | [
52,
102,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_alpha
This model is a fine-tuned version of [xlm-roberta-base](https:... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_alpha", "results": []}]} | haryoaw/scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_alpha | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:17:25+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-PR-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_alpha
====================================================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.0650
* Accuracy: 0.5150
* F1: 0.515... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 1123\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tra... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n*... | [
52,
102,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta
This model is a fine-tuned version of [xlm-roberta-base](https:/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta", "results": []}]} | haryoaw/scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:17:26+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-PR-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_beta
===================================================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.1780
* Accuracy: 0.4806
* F1: 0.4761
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 112233\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### T... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n*... | [
52,
103,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_delta
This model is a fine-tuned version of [xlm-roberta-base](https:... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_delta", "results": []}]} | haryoaw/scenario-NON-KD-PR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_delta | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:17:26+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-PR-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_delta
====================================================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.0029
* Accuracy: 0.4881
* F1: 0.487... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 11213\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tr... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n*... | [
52,
102,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... |
audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# emotion-detectioN888
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "emotion-detectioN888", "results": []}]} | Hemg/emotion-detectioN888 | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:17:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #audio-classification #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| emotion-detectioN888
====================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1607
* Accuracy: 0.5375
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #audio-classification #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.... | [
59,
142,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #audio-classification #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test-case-bart-greater-than-10
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "test-case-bart-greater-than-10", "results": []}]} | vignesh-spericorn/test-case-bart-greater-than-10 | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:18:18+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| test-case-bart-greater-than-10
==============================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5685
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3... | [
53,
117,
5,
35
] | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hellie/detailed-sentiment | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:20:42+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model... | [
39,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been aut... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hellie/ds-tok | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:21:33+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
22,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_delta
This model is a fine-tuned version of [xlm-roberta-base](https... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_delta", "results": []}]} | haryoaw/scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_delta | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:22:15+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-SCR-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_delta
=====================================================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 5.5680
* Accuracy: 0.3466
* F1: 0.3... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 11213\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tr... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n*... | [
52,
102,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_alpha
This model is a fine-tuned version of [xlm-roberta-base](https... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_alpha", "results": []}]} | haryoaw/scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_alpha | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:22:49+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-SCR-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_alpha
=====================================================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 5.9553
* Accuracy: 0.3470
* F1: 0.2... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 1123\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tra... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n*... | [
52,
102,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | aminlouhichi/gemma-Code-sql | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:22:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma
This model is a fine-tuned version of [xlm-roberta-base](https... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma", "results": []}]} | haryoaw/scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:23:43+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-SCR-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_gamma
=====================================================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 5.6343
* Accuracy: 0.3519
* F1: 0.3... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 11423\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tr... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n*... | [
52,
102,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta
This model is a fine-tuned version of [xlm-roberta-base](https:... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta", "results": []}]} | haryoaw/scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:23:44+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-SCR-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_beta
====================================================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 5.9259
* Accuracy: 0.3488
* F1: 0.306... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 112233\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### T... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n*... | [
52,
103,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... |
text-to-image | diffusers | ### kura Dreambooth model trained by Xyyhvfjjjh with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-di... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | Xyyhvfjjjh/kura | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-05T09:24:47+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### kura Dreambooth model trained by Xyyhvfjjjh with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
| [
"### kura Dreambooth model trained by Xyyhvfjjjh with TheLastBen's fast-DreamBooth notebook\n\n\nTest the concept via A1111 Colab fast-Colab-A1111\n\nSample pictures of this concept:"
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"### kura Dreambooth model trained by Xyyhvfjjjh with TheLastBen's fast-DreamBooth notebook\n\n\nTest the concept via A1111 Colab fast-Colab-A1111\n\nSample pi... | [
43,
57
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n### kura Dreambooth model trained by Xyyhvfjjjh with TheLastBen's fast-DreamBooth notebook\n\n\nTest the concept via A1111 Colab fast-Colab-A1111\n\nSample pictures... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ekhlass/phi2-flutter-docs | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:26:20+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has ... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/here_we_go_again11 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:26:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-generation | transformers |
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.43
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
### Tr... | {"language": ["en"], "license": "cc-by-nc-4.0"} | Changgil/K2S3-Mistral-7b-v1.43 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:27:01+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.43
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
### Tr... | [
"## Developed by : \n* K2S3",
"## Model Number:\n* K2S3-Mistral-7b-v1.43",
"## Base Model : \n* mistralai/Mistral-7B-v0.1",
"### Training Data\n* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.\n* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"## Developed by : \n* K2S3",
"## Model Number:\n* K2S3-Mistral-7b-v1.43",
"## Base Model : \n* mistralai/Mistral-7B-v0.1",
"### Traini... | [
48,
10,
21,
20,
106,
132,
102
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## Developed by : \n* K2S3## Model Number:\n* K2S3-Mistral-7b-v1.43## Base Model : \n* mistralai/Mistral-7B-v0.1### Training Data\n* The training ... |
null | null |
# reach-vb/gemma-1.1-7b-it-Q5_K_M-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q5_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:29:08+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q5_K_M-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# reach-vb/gemma-1.1-7b-it-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL throu... | [
24,
87,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-finetuned-samsum
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/T... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-finetuned-samsum", "results": []}]} | purge/mistral-finetuned-samsum | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.1-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-05T09:30:56+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.1-GPTQ #license-apache-2.0 #region-us
|
# mistral-finetuned-samsum
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
"# mistral-finetuned-samsum\n\nThis model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"##... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.1-GPTQ #license-apache-2.0 #region-us \n",
"# mistral-finetuned-samsum\n\nThis model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.",
"## Model description\n\nMore info... | [
58,
46,
7,
9,
9,
4,
102,
5,
48
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.1-GPTQ #license-apache-2.0 #region-us \n# mistral-finetuned-samsum\n\nThis model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.## Model description\n\nMore information need... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vi_en_envit5-translation_news_train
This model is a fine-tuned version of [VietAI/envit5-translation](https://huggingface.co/Vie... | {"license": "openrail", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-translation", "model-index": [{"name": "vi_en_envit5-translation_news_train", "results": []}]} | yuufong/vi_en_envit5-translation_news_train | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/envit5-translation",
"license:openrail",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:31:16+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-translation #license-openrail #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# vi_en_envit5-translation_news_train
This model is a fine-tuned version of VietAI/envit5-translation on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
"# vi_en_envit5-translation_news_train\n\nThis model is a fine-tuned version of VietAI/envit5-translation on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"##... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-translation #license-openrail #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# vi_en_envit5-translation_news_train\n\nThis model is a fine-tuned version of VietAI/... | [
61,
39,
7,
9,
9,
4,
111,
44
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-translation #license-openrail #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# vi_en_envit5-translation_news_train\n\nThis model is a fine-tuned version of VietAI/envit5... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_20 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:33:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
null | null |
# reach-vb/gemma-1.1-7b-it-Q5_K_S-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q5_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:34:08+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q5_K_S-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# reach-vb/gemma-1.1-7b-it-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL throu... | [
24,
87,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | PuneetSuthar/mistral_7b_puneet | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:34:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/maldv/dragonwar-7b-alpha
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["unsloth"], "base_model": "maldv/dragonwar-7b-alpha", "quantized_by": "mradermacher"} | mradermacher/dragonwar-7b-alpha-GGUF | null | [
"transformers",
"gguf",
"unsloth",
"en",
"base_model:maldv/dragonwar-7b-alpha",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:36:06+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #unsloth #en #base_model-maldv/dragonwar-7b-alpha #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #unsloth #en #base_model-maldv/dragonwar-7b-alpha #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
50
] | [
"TAGS\n#transformers #gguf #unsloth #en #base_model-maldv/dragonwar-7b-alpha #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
null | null |
# reach-vb/gemma-1.1-7b-it-Q5_0-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q5_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:36:18+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q5_0-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
"# reach-vb/gemma-1.1-7b-it-Q5_0-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q5_0-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through... | [
24,
85,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q5_0-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n\n... |
text-generation | transformers |
# PlatVR-dpo - Hermes 2 Pro - Mistral 7B
**Image generated by [copilot designer](https://copilot.microsoft.com/images/create).
## Model Details
This model is part of the EVIDENT framework, design... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["chatml", "mistral", "synthetic data", "finetune", "dpo"], "datasets": ["ITG/PlatVR-dpo"]} | ITG/PlatVR-dpo | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"chatml",
"synthetic data",
"finetune",
"dpo",
"conversational",
"en",
"dataset:ITG/PlatVR-dpo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:39:04+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #chatml #synthetic data #finetune #dpo #conversational #en #dataset-ITG/PlatVR-dpo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# PlatVR-dpo - Hermes 2 Pro - Mistral 7B
!image/jpeg
Image generated by copilot designer.
## Model Details
This model is part of the EVIDENT framework, designed to enhance the creative process in generating background images for virtual reality sets. It interprets user instructions to generate and modify prompts fo... | [
"# PlatVR-dpo - Hermes 2 Pro - Mistral 7B\n\n\n!image/jpeg\nImage generated by copilot designer.",
"## Model Details\n\nThis model is part of the EVIDENT framework, designed to enhance the creative process in generating background images for virtual reality sets. It interprets user instructions to generate and mo... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #chatml #synthetic data #finetune #dpo #conversational #en #dataset-ITG/PlatVR-dpo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# PlatVR-dpo - Hermes 2 Pro - Mistral 7B\n\n\n!image/jpeg\nImag... | [
73,
29,
237,
117,
14,
3,
29,
83,
42,
31,
24,
43,
20,
37,
10,
13,
14
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #chatml #synthetic data #finetune #dpo #conversational #en #dataset-ITG/PlatVR-dpo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# PlatVR-dpo - Hermes 2 Pro - Mistral 7B\n\n\n!image/jpeg\nImage gene... |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | nuratamton/test | null | [
"peft",
"pytorch",
"safetensors",
"mistral",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"4-bit",
"region:us"
] | null | 2024-04-05T09:39:13+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #pytorch #safetensors #mistral #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #pytorch #safetensors #mistral #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #4-bit #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Languag... | [
56,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
13
] | [
"TAGS\n#peft #pytorch #safetensors #mistral #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #4-bit #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- Li... |
null | null |
# reach-vb/gemma-1.1-7b-it-Q4_K_M-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:39:20+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q4_K_M-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# reach-vb/gemma-1.1-7b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL throu... | [
24,
87,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_iter_1", "results": []}]} | ShenaoZhang/0.001_idpo_iter_1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
"autotrain_compatible",
"endpoints_co... | null | 2024-04-05T09:41:56+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_idpo_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
"# 0.001_idpo_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore infor... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-u... | [
94,
54,
7,
9,
9,
4,
155,
5,
44
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-u... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | soccerking/m2 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:42:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
null | null |
# reach-vb/gemma-1.1-7b-it-Q4_K_S-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:42:21+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q4_K_S-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# reach-vb/gemma-1.1-7b-it-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL throu... | [
24,
87,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [Shalee... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Shaleen123/phi-2-maths", "Shaleen123/phi-2-code", "Shaleen123/phi-2-4bits"]} | Shaleen123/phi-2-merlin-1 | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"mergekit",
"merge",
"custom_code",
"arxiv:2203.05482",
"base_model:Shaleen123/phi-2-maths",
"base_model:Shaleen123/phi-2-code",
"base_model:Shaleen123/phi-2-4bits",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-in... | null | 2024-04-05T09:42:31+00:00 | [
"2203.05482"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #mergekit #merge #custom_code #arxiv-2203.05482 #base_model-Shaleen123/phi-2-maths #base_model-Shaleen123/phi-2-code #base_model-Shaleen123/phi-2-4bits #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* Shaleen123/phi-2-maths
* Shaleen123/phi-2-code
* Shaleen123/phi-2-4bits
### Con... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the linear merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Shaleen123/phi-2-maths\n* Shaleen123/phi-2-code\n* Shal... | [
"TAGS\n#transformers #safetensors #phi #text-generation #mergekit #merge #custom_code #arxiv-2203.05482 #base_model-Shaleen123/phi-2-maths #base_model-Shaleen123/phi-2-code #base_model-Shaleen123/phi-2-4bits #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# merge\n\n... | [
105,
17,
4,
15,
50,
16
] | [
"TAGS\n#transformers #safetensors #phi #text-generation #mergekit #merge #custom_code #arxiv-2203.05482 #base_model-Shaleen123/phi-2-maths #base_model-Shaleen123/phi-2-code #base_model-Shaleen123/phi-2-4bits #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# merge\n\nThis i... |
text2text-generation | transformers |
# DSI Search on Toy Dataset
[](https://doi.org/10.1145/3642970.3655837)
This is a simplified demonstration of the search engine presented in _De-DSI: Decentralised Differentiable Search Index_.
For this example, we fine-tuned the T5-small model on a [d... | {"license": "gpl-3.0", "tags": ["fine-tuned", "information-retrieval"], "inference": {"parameters": {"max_length": 60}}} | tribler/dsi-search-on-toy-dataset | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"fine-tuned",
"information-retrieval",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:44:16+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #fine-tuned #information-retrieval #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
# DSI Search on Toy Dataset
![DOI](URL
This is a simplified demonstration of the search engine presented in _De-DSI: Decentralised Differentiable Search Index_.
For this example, we fine-tuned the T5-small model on a dataset comprised of 526 distinct documents, including:
- URLs to YouTube videos featuring movie t... | [
"# DSI Search on Toy Dataset\n\n![DOI](URL\n\nThis is a simplified demonstration of the search engine presented in _De-DSI: Decentralised Differentiable Search Index_.\n\nFor this example, we fine-tuned the T5-small model on a dataset comprised of 526 distinct documents, including: \n- URLs to YouTube videos featur... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #fine-tuned #information-retrieval #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
"# DSI Search on Toy Dataset\n\n![DOI](URL\n\nThis is a simplified demonstration of the search engine pr... | [
57,
192
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #fine-tuned #information-retrieval #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n# DSI Search on Toy Dataset\n\n![DOI](URL\n\nThis is a simplified demonstration of the search engine presente... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# layoutlmv3-finetuned-funsd_100
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsof... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-funsd_100", "results": []}]} | Bunesh-VirtuonAI/layoutlmv3-finetuned-cord_100 | null | [
"transformers",
"tensorboard",
"safetensors",
"layoutlmv3",
"token-classification",
"generated_from_trainer",
"base_model:microsoft/layoutlmv3-base",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:45:59+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #layoutlmv3 #token-classification #generated_from_trainer #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us
| layoutlmv3-finetuned-funsd\_100
===============================
This model is a fine-tuned version of microsoft/layoutlmv3-base on an FUNSD dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5728
* Precision: 0.8172
* Recall: 0.8664
* F1: 0.8411
* Accuracy: 0.8318
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 5\n* eval\\_batch\\_size: 5\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 250",
"### Tr... | [
"TAGS\n#transformers #tensorboard #safetensors #layoutlmv3 #token-classification #generated_from_trainer #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trai... | [
66,
99,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #layoutlmv3 #token-classification #generated_from_trainer #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\... |
null | null |
# reach-vb/gemma-1.1-7b-it-Q4_0-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q4_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:46:19+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q4_0-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
"# reach-vb/gemma-1.1-7b-it-Q4_0-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q4_0-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through... | [
24,
85,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q4_0-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n\n... |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | woojinheo/k-commerce-classification-brand | null | [
"transformers",
"safetensors",
"bart",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:47:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bart #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #bart #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ... | [
37,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #bart #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been auto... |
null | null |
# reach-vb/gemma-1.1-7b-it-Q3_K_L-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q3_K_L-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:48:47+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q3_K_L-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# reach-vb/gemma-1.1-7b-it-Q3_K_L-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q3_K_L-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL throu... | [
24,
87,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q3_K_L-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n... |
null | transformers |
# Uploaded model
- **Developed by:** shivamklr
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | shivamklr/mistral-instruct-alpaca-sft | null | [
"transformers",
"gguf",
"mistral",
"text-generation-inference",
"unsloth",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:50:35+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mistral #text-generation-inference #unsloth #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: shivamklr
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: shivamklr\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #gguf #mistral #text-generation-inference #unsloth #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: shivamklr\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v... | [
67,
87
] | [
"TAGS\n#transformers #gguf #mistral #text-generation-inference #unsloth #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: shivamklr\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bn... |
null | null |
# reach-vb/gemma-1.1-7b-it-Q3_K_M-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q3_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:52:07+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q3_K_M-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# reach-vb/gemma-1.1-7b-it-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL throu... | [
24,
87,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n... |
text-generation | transformers |
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.42
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
### Tr... | {"language": ["en"], "license": "cc-by-nc-4.0"} | Changgil/K2S3-Mistral-7b-v1.42 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T09:53:13+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.42
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
### Tr... | [
"## Developed by : \n* K2S3",
"## Model Number:\n* K2S3-Mistral-7b-v1.42",
"## Base Model : \n* mistralai/Mistral-7B-v0.1",
"### Training Data\n* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.\n* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"## Developed by : \n* K2S3",
"## Model Number:\n* K2S3-Mistral-7b-v1.42",
"## Base Model : \n* mistralai/Mistral-7B-v0.1",
"### Traini... | [
48,
10,
21,
20,
106,
132,
102
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## Developed by : \n* K2S3## Model Number:\n* K2S3-Mistral-7b-v1.42## Base Model : \n* mistralai/Mistral-7B-v0.1### Training Data\n* The training ... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/NobodyExistsOnTheInternet/Medium-Rare-DPO-70b
<!-- provided-files -->
static quants are available at https://huggingface.co/mraderma... | {"language": ["en"], "library_name": "transformers", "base_model": "NobodyExistsOnTheInternet/Medium-Rare-DPO-70b", "quantized_by": "mradermacher"} | mradermacher/Medium-Rare-DPO-70b-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:NobodyExistsOnTheInternet/Medium-Rare-DPO-70b",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:54:27+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-NobodyExistsOnTheInternet/Medium-Rare-DPO-70b #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-NobodyExistsOnTheInternet/Medium-Rare-DPO-70b #endpoints_compatible #region-us \n"
] | [
40
] | [
"TAGS\n#transformers #gguf #en #base_model-NobodyExistsOnTheInternet/Medium-Rare-DPO-70b #endpoints_compatible #region-us \n"
] |
null | null |
# reach-vb/gemma-1.1-7b-it-Q3_K_S-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q3_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:54:45+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q3_K_S-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# reach-vb/gemma-1.1-7b-it-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL throu... | [
24,
87,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n... |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - Purukoli/2nd-model
These are LoRA adaption weights for stable-diffusion-xl-base-1.0. The ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "stable-diffusion-xl-base-1.0", "inference": true} | Purukoli/2nd-model | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"diffusers-training",
"lora",
"base_model:stable-diffusion-xl-base-1.0",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-05T09:54:51+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - Purukoli/2nd-model
These are LoRA adaption weights for stable-diffusion-xl-base-1.0. The weights were fine-tuned on the JerryMo/db-simpsons-dataset dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
LoRA for the text encoder was enabled: Fals... | [
"# LoRA text2image fine-tuning - Purukoli/2nd-model\n\nThese are LoRA adaption weights for stable-diffusion-xl-base-1.0. The weights were fine-tuned on the JerryMo/db-simpsons-dataset dataset. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3\n\n\nLoRA for the text encoder was en... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #region-us \n",
"# LoRA text2image fine-tuning - Purukoli/2nd-model\n\nThese are LoRA adaption weights for stable-diffusion-xl-base... | [
63,
111,
6,
7,
23,
17
] | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #region-us \n# LoRA text2image fine-tuning - Purukoli/2nd-model\n\nThese are LoRA adaption weights for stable-diffusion-xl-base-1.0. ... |
text-classification | setfit |
# SetFit with intfloat/multilingual-e5-large
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) as the Sentence Transformer embedding model. A [Logistic... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "What promotions in RTEC have shown declining effectiveness and can be discontinued?"}, {"text": "What are my priority brands in RTEC to get positi... | vgarg/promo_prescriptive_05_04_2024 | null | [
"setfit",
"safetensors",
"xlm-roberta",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:intfloat/multilingual-e5-large",
"model-index",
"region:us"
] | null | 2024-04-05T09:56:20+00:00 | [
"2209.11055"
] | [] | TAGS
#setfit #safetensors #xlm-roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-intfloat/multilingual-e5-large #model-index #region-us
| SetFit with intfloat/multilingual-e5-large
==========================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses intfloat/multilingual-e5-large as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The mode... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: intfloat/multilingual-e5-large\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 6 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Paper: Efficient Fe... | [
"TAGS\n#setfit #safetensors #xlm-roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-intfloat/multilingual-e5-large #model-index #region-us \n",
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: intfloat/multilingual-e5-larg... | [
67,
56,
42,
16,
10,
43,
7,
179,
5,
75,
6
] | [
"TAGS\n#setfit #safetensors #xlm-roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-intfloat/multilingual-e5-large #model-index #region-us \n### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: intfloat/multilingual-e5-large\n* C... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nitky/Swallow-70b-NVE-RP
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Swallow-70b-NVE-... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nitky/Swallow-70b-NVE-RP", "model_type": "llama", "quantized_by": "mradermacher"} | mradermacher/Swallow-70b-NVE-RP-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:nitky/Swallow-70b-NVE-RP",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:56:33+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-nitky/Swallow-70b-NVE-RP #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-nitky/Swallow-70b-NVE-RP #license-llama2 #endpoints_compatible #region-us \n"
] | [
48
] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-nitky/Swallow-70b-NVE-RP #license-llama2 #endpoints_compatible #region-us \n"
] |
null | null |
# reach-vb/gemma-1.1-7b-it-Q2_K-GGUF
This model was converted to GGUF format from [`gg-hf/gemma-1.1-7b-it`](https://huggingface.co/gg-hf/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"tags": ["llama-cpp", "gguf-my-repo"]} | ggml-org/gemma-1.1-7b-it-Q2_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-05T09:57:26+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# reach-vb/gemma-1.1-7b-it-Q2_K-GGUF
This model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: ... | [
"# reach-vb/gemma-1.1-7b-it-Q2_K-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# reach-vb/gemma-1.1-7b-it-Q2_K-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through... | [
24,
85,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# reach-vb/gemma-1.1-7b-it-Q2_K-GGUF\nThis model was converted to GGUF format from 'gg-hf/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL through brew.\n\n\n... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_23 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:57:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ericwky/mistral_b_basel_finetuned | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T09:58:18+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | jostyposty/drl-course-unit-03-space-invaders-no-frameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-05T09:59:56+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo... | [
37,
81,
76,
10,
6,
3
] | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | soccerking/m1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T10:00:00+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle37 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:00:21+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | CodeTriad/mistral-7b-gaLore_1_epoch | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"trl",
"sft",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T10:02:28+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has... | [
50,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on th... |
text2text-generation | transformers | train on - defects4j all dataset | {} | chathuranga-jayanath/codet5-small-v34 | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T10:02:40+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| train on - defects4j all dataset | [] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
39
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - Purukoli/my-model
These are LoRA adaption weights for stable-diffusion-xl-base-1.0. The w... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model"... | Purukoli/my-model | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"diffusers-training",
"lora",
"base_model:stable-diffusion-xl-base-1.0",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-05T10:05:23+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - Purukoli/my-model
These are LoRA adaption weights for stable-diffusion-xl-base-1.0. The weights were fine-tuned on the JerryMo/db-simpsons-dataset dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
LoRA for the text encoder was enabled: False... | [
"# LoRA text2image fine-tuning - Purukoli/my-model\n\nThese are LoRA adaption weights for stable-diffusion-xl-base-1.0. The weights were fine-tuned on the JerryMo/db-simpsons-dataset dataset. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3\n\n\nLoRA for the text encoder was ena... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #region-us \n",
"# LoRA text2image fine-tuning - Purukoli/my-model\n\nThese are LoRA adaption weights for stable-diffusion-xl-base-... | [
63,
111,
6,
7,
23,
17
] | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #region-us \n# LoRA text2image fine-tuning - Purukoli/my-model\n\nThese are LoRA adaption weights for stable-diffusion-xl-base-1.0. T... |
feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep03 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:08:26+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been au... | [
35,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically genera... |
text-to-image | diffusers | # Hinata
<Gallery />
## Trigger words
You should use `12` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/leimu/Hinata/tree/main) them in the Files & versions tab.
| {"license": "mit", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "12", "output": {"url": "images/hinatahyuuga-b007d-2720185773.jpeg"}}], "base_model": "ByteDance/SDXL-Lightning", "instance_prompt": "12"} | leimu/Hinata | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:ByteDance/SDXL-Lightning",
"license:mit",
"region:us"
] | null | 2024-04-05T10:09:58+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #license-mit #region-us
| # Hinata
<Gallery />
## Trigger words
You should use '12' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
"# Hinata\n\n<Gallery />",
"## Trigger words\n\nYou should use '12' to trigger the image generation.",
"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #license-mit #region-us \n",
"# Hinata\n\n<Gallery />",
"## Trigger words\n\nYou should use '12' to trigger the image generation.",
"## Download model\n\nWeights for this model are available in Safe... | [
45,
8,
16,
25
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #license-mit #region-us \n# Hinata\n\n<Gallery />## Trigger words\n\nYou should use '12' to trigger the image generation.## Download model\n\nWeights for this model are available in Safetensors format.\n\... |
fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RoBERTa_EmpAI_final
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown data... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "RoBERTa_EmpAI_final", "results": []}]} | LuangMV97/RoBERTa_EmpAI_final | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"fill-mask",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:12:30+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| RoBERTa\_EmpAI\_final
=====================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0700
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n*... | [
48,
152,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train... |
text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-05T10:13:24+00:00 | [
"2309.08958"
] | [
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bigscience/bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository con... | [
83,
46,
99,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains ... |
text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-downsampled-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-05T10:14:39+00:00 | [
"2309.08958"
] | [
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bigscience/bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository con... | [
83,
46,
102,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains ... |
text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-05T10:16:05+00:00 | [
"2309.08958"
] | [
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bigscience/bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository con... | [
83,
46,
99,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains ... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | lwhite/finetuning-sentiment-model-3000-samples | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:16:41+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3382
- Accuracy: 0.8633
- F1: 0.8682
## Model description
More information needed
## Intended uses & limitations
More ... | [
"# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.3382\n- Accuracy: 0.8633\n- F1: 0.8682",
"## Model description\n\nMore information needed",
"## Intended uses & ... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert... | [
59,
68,
7,
9,
9,
4,
93,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-... |
summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pegasus-latest-finetuned2
This model is a fine-tuned version of [october-sd/pegasus-xsum-finetuned-en-sum](https://huggingface.c... | {"tags": ["summarization", "generated_from_trainer"], "base_model": "october-sd/pegasus-xsum-finetuned-en-sum", "model-index": [{"name": "pegasus-latest-finetuned2", "results": []}]} | october-sd/pegasus-latest-finetuned2 | null | [
"transformers",
"tensorboard",
"safetensors",
"pegasus",
"text2text-generation",
"summarization",
"generated_from_trainer",
"base_model:october-sd/pegasus-xsum-finetuned-en-sum",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:16:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #pegasus #text2text-generation #summarization #generated_from_trainer #base_model-october-sd/pegasus-xsum-finetuned-en-sum #autotrain_compatible #endpoints_compatible #region-us
| pegasus-latest-finetuned2
=========================
This model is a fine-tuned version of october-sd/pegasus-xsum-finetuned-en-sum on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4684
Model description
-----------------
More information needed
Intended uses & limitati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #pegasus #text2text-generation #summarization #generated_from_trainer #base_model-october-sd/pegasus-xsum-finetuned-en-sum #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during tr... | [
63,
124,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #pegasus #text2text-generation #summarization #generated_from_trainer #base_model-october-sd/pegasus-xsum-finetuned-en-sum #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training... |
text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-downsampled-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-05T10:18:10+00:00 | [
"2309.08958"
] | [
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bigscience/bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository con... | [
83,
46,
102,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains ... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AraikT/model-of-Araik-t5-finetuned_3 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T10:20:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-05T10:20:25+00:00 | [
"2309.08958"
] | [
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bigscience/bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository con... | [
83,
46,
99,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains ... |
text-to-image | null |
# Disney Pixar Cartoon type B API Inference
## Get API Key
Get API key from [Stable Diffusion API](http://stablediffusionapi.com/), No Payment needed.
Replace Key in below code, change **model_id** to ... | {"license": "creativeml-openrail-m", "tags": ["stablediffusionapi.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | ozkanozdemir/disney-pixar-cartoon-b | null | [
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"doi:10.57967/hf/2013",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-05T10:20:48+00:00 | [] | [] | TAGS
#stablediffusionapi.com #stable-diffusion-api #text-to-image #ultra-realistic #doi-10.57967/hf/2013 #license-creativeml-openrail-m #region-us
|
# Disney Pixar Cartoon type B API Inference
!generated from URL
## Get API Key
Get API key from Stable Diffusion API, No Payment needed.
Replace Key in below code, change model_id to "disney-pixar-cartoon"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Gen... | [
"# Disney Pixar Cartoon type B API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from Stable Diffusion API, No Payment needed. \n\nReplace Key in below code, change model_id to \"disney-pixar-cartoon\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTr... | [
"TAGS\n#stablediffusionapi.com #stable-diffusion-api #text-to-image #ultra-realistic #doi-10.57967/hf/2013 #license-creativeml-openrail-m #region-us \n",
"# Disney Pixar Cartoon type B API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from Stable Diffusion API, No Payment needed. \n\nReplace... | [
54,
15,
519
] | [
"TAGS\n#stablediffusionapi.com #stable-diffusion-api #text-to-image #ultra-realistic #doi-10.57967/hf/2013 #license-creativeml-openrail-m #region-us \n# Disney Pixar Cartoon type B API Inference\n\n!generated from URL## Get API Key\n\nGet API key from Stable Diffusion API, No Payment needed. \n\nReplace Key in belo... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="krisha-n/q-taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | krisha-n/q-taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-05T10:21:16+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
26,
31
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
text-to-image | diffusers | # Chika
<Gallery />
## Trigger words
You should use `123` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/leimu/3/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "12", "output": {"url": "images/chikafujiwara-e79e7-3066464206.jpeg"}}], "base_model": "ByteDance/SDXL-Lightning", "instance_prompt": "123"} | leimu/3 | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:ByteDance/SDXL-Lightning",
"region:us"
] | null | 2024-04-05T10:22:06+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #region-us
| # Chika
<Gallery />
## Trigger words
You should use '123' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
"# Chika\n\n<Gallery />",
"## Trigger words\n\nYou should use '123' to trigger the image generation.",
"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #region-us \n",
"# Chika\n\n<Gallery />",
"## Trigger words\n\nYou should use '123' to trigger the image generation.",
"## Download model\n\nWeights for this model are available in Safetensors forma... | [
41,
7,
16,
25
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #region-us \n# Chika\n\n<Gallery />## Trigger words\n\nYou should use '123' to trigger the image generation.## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload the... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_26 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:23:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-downsampled-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-05T10:23:54+00:00 | [
"2309.08958"
] | [
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bigscience/bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository con... | [
83,
46,
102,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains ... |
text-generation | transformers |
# Chat2Eco-180B-base
## Description
The Chat2Eco-180B-base model is a large-scale artificial intelligence model developed to assist in various natural language processing tasks. Trained on a diverse range of data sources, this model is designed to generate text, facilitate language understanding, and support various ... | {"language": ["en"], "license": "mit", "tags": ["gemma"], "pipeline_tag": "text-generation"} | retiredcarboxyl/Chat2Eco-180B-base | null | [
"transformers",
"pytorch",
"Chat2Eco-Base",
"gemma",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:24:56+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #Chat2Eco-Base #gemma #text-generation #en #license-mit #endpoints_compatible #region-us
|
# Chat2Eco-180B-base
## Description
The Chat2Eco-180B-base model is a large-scale artificial intelligence model developed to assist in various natural language processing tasks. Trained on a diverse range of data sources, this model is designed to generate text, facilitate language understanding, and support various ... | [
"# Chat2Eco-180B-base",
"## Description\nThe Chat2Eco-180B-base model is a large-scale artificial intelligence model developed to assist in various natural language processing tasks. Trained on a diverse range of data sources, this model is designed to generate text, facilitate language understanding, and support... | [
"TAGS\n#transformers #pytorch #Chat2Eco-Base #gemma #text-generation #en #license-mit #endpoints_compatible #region-us \n",
"# Chat2Eco-180B-base",
"## Description\nThe Chat2Eco-180B-base model is a large-scale artificial intelligence model developed to assist in various natural language processing tasks. Train... | [
36,
10,
59,
53,
70
] | [
"TAGS\n#transformers #pytorch #Chat2Eco-Base #gemma #text-generation #en #license-mit #endpoints_compatible #region-us \n# Chat2Eco-180B-base## Description\nThe Chat2Eco-180B-base model is a large-scale artificial intelligence model developed to assist in various natural language processing tasks. Trained on a dive... |
null | null |
alpaca or vicuna it doesnt matter
experimental model trained on mistral 0.2
ye ye
has
- roleplay data (a small minoritry)
- instruct data (plenty)
- nsfw data (more)
- General instruct shit (some amounts) | {} | Sao10K/Solus-m7-GGUF | null | [
"gguf",
"region:us"
] | null | 2024-04-05T10:26:03+00:00 | [] | [] | TAGS
#gguf #region-us
|
alpaca or vicuna it doesnt matter
experimental model trained on mistral 0.2
ye ye
has
- roleplay data (a small minoritry)
- instruct data (plenty)
- nsfw data (more)
- General instruct shit (some amounts) | [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
] | [
"TAGS\n#gguf #region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/4qo8q2z | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:26:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/cu16lnf | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:26:17+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If t... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.0", "quantized_by": "mradermacher"} | mradermacher/nox-solar-10.7b-v4-kolon-ITD-5-v2.0-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.0",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:26:41+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.0 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.0 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
64
] | [
"TAGS\n#transformers #gguf #en #base_model-gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.0 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-bloom-3b | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-05T10:27:19+00:00 | [
"2309.08958"
] | [
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-3b
* Instruction tuning language:... | [
"### Model Description\n\nThis HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bigscience/bloom-3b\n* Instruction tu... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository con... | [
83,
46,
99,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains ... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# en_vi_mbart-large-50-many-to-many-mmt_conv_train
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt... | {"tags": ["generated_from_trainer"], "base_model": "facebook/mbart-large-50-many-to-many-mmt", "model-index": [{"name": "en_vi_mbart-large-50-many-to-many-mmt_conv_train", "results": []}]} | yuufong/en_vi_mbart-large-50-many-to-many-mmt_conv_train | null | [
"transformers",
"safetensors",
"mbart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/mbart-large-50-many-to-many-mmt",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:29:09+00:00 | [] | [] | TAGS
#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-facebook/mbart-large-50-many-to-many-mmt #autotrain_compatible #endpoints_compatible #region-us
|
# en_vi_mbart-large-50-many-to-many-mmt_conv_train
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
"# en_vi_mbart-large-50-many-to-many-mmt_conv_train\n\nThis model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMor... | [
"TAGS\n#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-facebook/mbart-large-50-many-to-many-mmt #autotrain_compatible #endpoints_compatible #region-us \n",
"# en_vi_mbart-large-50-many-to-many-mmt_conv_train\n\nThis model is a fine-tuned version of facebook/mbart-large-... | [
58,
57,
7,
9,
9,
4,
111,
44
] | [
"TAGS\n#transformers #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-facebook/mbart-large-50-many-to-many-mmt #autotrain_compatible #endpoints_compatible #region-us \n# en_vi_mbart-large-50-many-to-many-mmt_conv_train\n\nThis model is a fine-tuned version of facebook/mbart-large-50-man... |
text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-downsampled-bloom-3b | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-05T10:32:16+00:00 | [
"2309.08958"
] | [
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-3b
* Instruction tuning language:... | [
"### Model Description\n\nThis HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bigscience/bloom-3b\n* Instruction tu... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository con... | [
83,
46,
102,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains ... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-finetuned-intent
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the No... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-finetuned-intent", "results": []}]} | mohits01/phi-2-finetuned-intent | null | [
"peft",
"tensorboard",
"safetensors",
"phi",
"generated_from_trainer",
"custom_code",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-05T10:33:35+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #phi #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi-2-finetuned-intent
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
"# phi-2-finetuned-intent\n\nThis model is a fine-tuned version of microsoft/phi-2 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"... | [
"TAGS\n#peft #tensorboard #safetensors #phi #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us \n",
"# phi-2-finetuned-intent\n\nThis model is a fine-tuned version of microsoft/phi-2 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended us... | [
41,
30,
7,
9,
9,
4,
133,
5,
48
] | [
"TAGS\n#peft #tensorboard #safetensors #phi #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us \n# phi-2-finetuned-intent\n\nThis model is a fine-tuned version of microsoft/phi-2 on the None dataset.## Model description\n\nMore information needed## Intended uses & limitations\n... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mT5-TextSimp-LT-BatchSize4-lr5e-5
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "sacrebleu"], "base_model": "google/mt5-base", "model-index": [{"name": "mT5-TextSimp-LT-BatchSize4-lr5e-5", "results": []}]} | eglkan1/mT5-TextSimp-LT-BatchSize4-lr5e-5 | null | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/mt5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T10:33:38+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| mT5-TextSimp-LT-BatchSize4-lr5e-5
=================================
This model is a fine-tuned version of google/mt5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1611
* Rouge1: 0.46
* Rouge2: 0.2767
* Rougel: 0.4464
* Sacrebleu: 23.2936
* Gen Len: 39.0358
Model desc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
"TAGS\n#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* ... | [
62,
117,
5,
44
] | [
"TAGS\n#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learni... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="krisha-n/q-taxi-v3-500k", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False ... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-taxi-v3-500k", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.... | krisha-n/q-taxi-v3-500k | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-05T10:36:10+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
26,
31
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
text-generation | transformers |
# Uploaded model
- **Developed by:** mahiatlinux
- **License:** apache-2.0
- **Finetuned from model :** mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code"} | mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code2 | null | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"conversational",
"en",
"base_model:mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:36:49+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #mistral #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: mahiatlinux
- License: apache-2.0
- Finetuned from model : mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: mahiatlinux\n- License: apache-2.0\n- Finetuned from model : mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #pytorch #mistral #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: mahiatlinux\n- L... | [
84,
86
] | [
"TAGS\n#transformers #pytorch #mistral #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: mahiatlinux\n- License... |
text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-bloom-7b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-05T10:37:40+00:00 | [
"2309.08958"
] | [
"bg",
"cs",
"zh",
"de",
"fi",
"fr",
"ru",
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-7b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bigscience/bloom-7b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository con... | [
83,
46,
100,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #cs #zh #de #fi #fr #ru #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains ... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_27 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T10:38:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.