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# Antler-7B-RP-GGUF
## 概要
[Aratako/Antler-7B-RP](https://huggingface.co/Aratako/Antler-7B-RP)の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | {"language": ["ja"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["grimulkan/LimaRP-augmented", "Aratako/Rosebleu-1on1-Dialogues-RP"], "base_model": ["Aratako/Antler-7B-RP"]} | Aratako/Antler-7B-RP-GGUF | null | [
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"base_model:Aratako/Antler-7B-RP",
"license:apache-2.0",
"region:us"
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|
# Antler-7B-RP-GGUF
## 概要
Aratako/Antler-7B-RPの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | [
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] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **BipedalWalker-v3**
This is a trained model of a **PPO** agent playing **BipedalWalker-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 huggingface_... | {"library_name": "stable-baselines3", "tags": ["BipedalWalker-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "BipedalWalker-v3", "type": "Bi... | koopatroopa787/ppo-BipedalWalker-v4 | null | [
"stable-baselines3",
"BipedalWalker-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"doi:10.57967/hf/2156",
"model-index",
"region:us"
] | null | 2024-04-13T13:00:24+00:00 | [] | [] | TAGS
#stable-baselines3 #BipedalWalker-v3 #deep-reinforcement-learning #reinforcement-learning #doi-10.57967/hf/2156 #model-index #region-us
|
# PPO Agent playing BipedalWalker-v3
This is a trained model of a PPO agent playing BipedalWalker-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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"TAGS\n#stable-baselines3 #BipedalWalker-v3 #deep-reinforcement-learning #reinforcement-learning #doi-10.57967/hf/2156 #model-index #region-us \n# PPO Agent playing BipedalWalker-v3\nThis is a trained model of a PPO agent playing BipedalWalker-v3\nusing the stable-baselines3 library.## Usage (with Stable-baselines3... |
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. -->
# bart_samsum_model
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart_samsum_model", "results": []}]} | Khushi870/bart_samsum_model | null | [
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"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-large-cnn",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T13:01:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# bart_samsum_model
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamet... | [
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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": []} | Rutts07/gemma-2b-it-ai-human-gen | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T13:02:07+00:00 | [
"1910.09700"
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#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:
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null | adapter-transformers |
# Adapter `BigTMiami/F_adapter_ia3_classification_P_20_to_C_30` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classificat... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/F_adapter_ia3_classification_P_20_to_C_30 | null | [
"adapter-transformers",
"roberta",
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"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/F_adapter_ia3_classification_P_20_to_C_30' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, inst... | [
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null | null | GGUF quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Mistral-22B-v0.2 - GGUF
- Model creator: https://huggingface.co/Vezora/
- Original model: https://huggingface.co/Vezora... | {} | RichardErkhov/Vezora_-_Mistral-22B-v0.2-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-13T13:03:28+00:00 | [] | [] | TAGS
#gguf #region-us
| GGUF quantization made by Richard Erkhov.
Github
Discord
Request more models
Mistral-22B-v0.2 - GGUF
* Model creator: URL
* Original model: URL
Name: Mistral-22B-v0.2.Q2\_K.gguf, Quant method: Q2\_K, Size: 7.7GB
Name: Mistral-22B-v0.2.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 8.54GB
Name: Mistral-22B-v0.2.... | [
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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": []} | Abirate/gemma-1.1-7b-it-finetuned-on-kaggle-writeups | null | [
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"text-generation-inference",
"region:us"
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"1910.09700"
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|
# 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.
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- Funded by [optional]:
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- License... | [
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null | null | # English to Spanish Machine Translation
## Introduction:
In this project, we'll build a sequence-to-sequence Transformer model, which we'll train on an English-to-Spanish machine translation task.
In this task we will learn:
- Vectorize text using the Keras TextVectorization layer.
- Implement a TransformerEncoder l... | {"license": "mit"} | jannatulferdaws/dl-project2 | null | [
"license:mit",
"region:us"
] | null | 2024-04-13T13:05:24+00:00 | [] | [] | TAGS
#license-mit #region-us
| # English to Spanish Machine Translation
## Introduction:
In this project, we'll build a sequence-to-sequence Transformer model, which we'll train on an English-to-Spanish machine translation task.
In this task we will learn:
- Vectorize text using the Keras TextVectorization layer.
- Implement a TransformerEncoder l... | [
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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. -->
# results4.2
This model is a fine-tuned version of [jkhan447/sarcasm-detection-Bert-base-uncased](https://huggingface.co/jkhan447/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "jkhan447/sarcasm-detection-Bert-base-uncased", "model-index": [{"name": "results4.2", "results": []}]} | dianamihalache27/results4.2 | null | [
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|
# results4.2
This model is a fine-tuned version of jkhan447/sarcasm-detection-Bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6805
- Accuracy: 0.6916
- F1: 0.4216
## Model description
More information needed
## Intended uses & limitations
More informat... | [
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text-generation | transformers | # Model Card for Mixtral-8x22B-Instruct
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
For full details of this model please read our [release blog post](https://mistral.ai/news/mixtral-of-experts/).
## Instruction format
The template used to build a prompt for the... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "inference": {"parameters": {"temperature": 0.5}}, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | PawanKrd/Mixtral-8x22B-Instruct-v0.1 | null | [
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"autotrain_compatible",
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#transformers #safetensors #mixtral #text-generation #conversational #fr #it #de #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Mixtral-8x22B-Instruct
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
For full details of this model please read our release blog post.
## Instruction format
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In the... | [
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reinforcement-learning | stable-baselines3 |
# **We used the architecture of the MlpPolicy** Agent playing **LunarLander-v2**
This is a trained model of a **We used the architecture of the MlpPolicy** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add y... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "We used the architecture of the MlpPolicy", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"na... | FitTechMike/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:07:52+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# We used the architecture of the MlpPolicy Agent playing LunarLander-v2
This is a trained model of a We used the architecture of the MlpPolicy agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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null | adapter-transformers |
# Adapter `BigTMiami/G_adapter_compactor_classification_P_20_to_C_30` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for class... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/G_adapter_compactor_classification_P_20_to_C_30 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-13T13:08:21+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/G_adapter_compactor_classification_P_20_to_C_30' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First... | [
"# Adapter 'BigTMiami/G_adapter_compactor_classification_P_20_to_C_30' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
"## ... | [
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null | null |
# Cran-May/Mistral-22B-v0.2-Q4_K_S-GGUF
This model was converted to GGUF format from [`Vezora/Mistral-22B-v0.2`](https://huggingface.co/Vezora/Mistral-22B-v0.2) 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://huggin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Cran-May/Mistral-22B-v0.2-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T13:08:52+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# Cran-May/Mistral-22B-v0.2-Q4_K_S-GGUF
This model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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:
N... | [
"# Cran-May/Mistral-22B-v0.2-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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\nCL... | [
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text-to-image | diffusers | # helltaker
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/zaxcal/helltaker/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000h\u0000e\u0000l\u0000l\u0000t\u0000a\u0000k\u0000e\u0000r\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\... | zaxcal/helltaker | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:NikoEternal/HellTaker",
"region:us"
] | null | 2024-04-13T13:08:56+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-NikoEternal/HellTaker #region-us
| # helltaker
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
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"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
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"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-NikoEternal/HellTaker #region-us \n# helltaker\n\n<Gallery />## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
] |
reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'LunarLand... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | aa-unh/lunarlander-scratch | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
] | null | 2024-04-13T13:09:02+00:00 | [] | [] | TAGS
#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
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"} | akshaysaxena/Enlighten_Instruct | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-13T13:09:16+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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]:
#... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | toure32/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:09:28+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/migtissera/Tess-2.0-Mixtral-8x22B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tess-2.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "migtissera/Tess-2.0-Mixtral-8x22B", "quantized_by": "mradermacher"} | mradermacher/Tess-2.0-Mixtral-8x22B-GGUF | null | [
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] | TAGS
#transformers #en #base_model-migtissera/Tess-2.0-Mixtral-8x22B #license-apache-2.0 #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 #en #base_model-migtissera/Tess-2.0-Mixtral-8x22B #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
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. -->
# results5
This model is a fine-tuned version of [jkhan447/sarcasm-detection-Bert-base-uncased-CR](https://huggingface.co/jkhan447... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "jkhan447/sarcasm-detection-Bert-base-uncased-CR", "model-index": [{"name": "results5", "results": []}]} | dianamihalache27/results5 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:jkhan447/sarcasm-detection-Bert-base-uncased-CR",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T13:14:45+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-jkhan447/sarcasm-detection-Bert-base-uncased-CR #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# results5
This model is a fine-tuned version of jkhan447/sarcasm-detection-Bert-base-uncased-CR on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7753
- Accuracy: 0.6916
- F1: 0.4216
## Model description
More information needed
## Intended uses & limitations
More informa... | [
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text-generation | transformers |
# Model mera-mix-4x7B
This is a mixture of experts (MoE) model that is half as large (4 experts instead of 8) as the [Mixtral-8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
while been comparable to it across different benchmarks. You can use it as a drop in replacement for your Mixtral-8x7B and ge... | {"license": "apache-2.0", "model-index": [{"name": "mera-mix-4x7B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metrics": [{"type": "ac... | meraGPT/mera-mix-4x7B | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T13:21:18+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| Model mera-mix-4x7B
===================
This is a mixture of experts (MoE) model that is half as large (4 experts instead of 8) as the Mixtral-8x7B
while been comparable to it across different benchmarks. You can use it as a drop in replacement for your Mixtral-8x7B and get much faster inference.
mera-mix-4x7B achi... | [] | [
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] |
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. -->
# results6
This model is a fine-tuned version of [jkhan447/sarcasm-detection-Bert-base-uncased-CR-POS](https://huggingface.co/jkha... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "jkhan447/sarcasm-detection-Bert-base-uncased-CR-POS", "model-index": [{"name": "results6", "results": []}]} | dianamihalache27/results6 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:jkhan447/sarcasm-detection-Bert-base-uncased-CR-POS",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T13:21:30+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-jkhan447/sarcasm-detection-Bert-base-uncased-CR-POS #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# results6
This model is a fine-tuned version of jkhan447/sarcasm-detection-Bert-base-uncased-CR-POS on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6308
- Accuracy: 0.6945
- F1: 0.3537
## Model description
More information needed
## Intended uses & limitations
More inf... | [
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"## Intended uses & lim... | [
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null | null |
# Cran-May/Mistral-22B-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from [`Vezora/Mistral-22B-v0.2`](https://huggingface.co/Vezora/Mistral-22B-v0.2) 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://huggin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Cran-May/Mistral-22B-v0.2-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
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#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# Cran-May/Mistral-22B-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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:
N... | [
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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": []} | HackerCIS/gemma-2b_LoRA | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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-ep14 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # #Roleplay #Multimodal #Vision
This repository hosts GGUF-IQ-Imatrix quants for [Nitral-AI/Nyanade_Stunna-Maid-7B](https://huggingface.co/Nitral-AI/Nyanade_Stunna-Maid-7B).
**Recommended starting [SillyTavern presets here](https://huggingface.co/Lewdiculous/Eris_PrimeV4-Vision-32k-7B-GGUF-IQ-Imatrix/tree/main/sillyt... | {"tags": ["gguf", "quantized", "roleplay", "multimodal", "vision", "llava", "sillytavern", "merge", "mistral", "conversational"], "inference": false} | Lewdiculous/Nyanade_Stunna-Maid-7B-GGUF-IQ-Imatrix | null | [
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#gguf #quantized #roleplay #multimodal #vision #llava #sillytavern #merge #mistral #conversational #region-us
| # #Roleplay #Multimodal #Vision
This repository hosts GGUF-IQ-Imatrix quants for Nitral-AI/Nyanade_Stunna-Maid-7B.
Recommended starting SillyTavern presets here.
This is a #multimodal model that also has #vision capabilities. <br> Read the full card information if you also want to use that functionality.
"Expected ... | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | RegularNico/hotz | null | [
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"region:us"
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#arxiv-1910.09700 #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | LakshitKava/PPO-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | aldjia/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:32:10+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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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. -->
# results7
This model is a fine-tuned version of [jkhan447/sarcasm-detection-RoBerta-base-CR](https://huggingface.co/jkhan447/sarc... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "jkhan447/sarcasm-detection-RoBerta-base-CR", "model-index": [{"name": "results7", "results": []}]} | dianamihalache27/results7 | null | [
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|
# results7
This model is a fine-tuned version of jkhan447/sarcasm-detection-RoBerta-base-CR on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5911
- Accuracy: 0.7089
- F1: 0.4195
## Model description
More information needed
## Intended uses & limitations
More information ... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Yann2310/amazigh_warior | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | hOelfY/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:36:20+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
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/aucx3qi | null | [
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|
# Model Card for Model ID
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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": []} | LexiconShiftInnovations/Gemma_Dental_it_07_merged | null | [
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text-generation | transformers |
# nishide-dev/suzume-poc-mlx-8bit
This model was converted to MLX format from [`alfredplpl/suzume-poc`]() using mlx-lm version **0.7.0**.
Refer to the [original model card](https://huggingface.co/alfredplpl/suzume-poc) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_l... | {"language": ["ja", "en"], "license": "other", "library_name": "transformers", "tags": ["mlx"], "license_name": "gemma-terms-of-use", "license_link": "https://www.kaggle.com/models/google/gemma/license/consent", "inference": false} | nishide-dev/suzume-poc-mlx-8bit | null | [
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|
# nishide-dev/suzume-poc-mlx-8bit
This model was converted to MLX format from ['alfredplpl/suzume-poc']() using mlx-lm version 0.7.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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": []} | andreidima/Llama-2-7b-Romanian-qlora | null | [
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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": []} | falba/t5-small-finetuned-news-ep5 | null | [
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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. -->
# gpt7B_domar_finetune
This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-6.7b](https://huggingface.co/AI-Sweden-Mode... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "AI-Sweden-Models/gpt-sw3-6.7b", "model-index": [{"name": "gpt7B_domar_finetune", "results": []}]} | thorirhrafn/gpt7B_domar_finetune | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-AI-Sweden-Models/gpt-sw3-6.7b #license-other #region-us
| gpt7B\_domar\_finetune
======================
This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-6.7b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7250
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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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": []} | cackerman/rewrites_mistral7unsloth_4bit_ft_full_secondft2 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# results8
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "results8", "results": []}]} | dianamihalache27/results8 | null | [
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|
# results8
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5802
- Accuracy: 0.7320
- F1: 0.4188
## Model description
More information needed
## Intended uses & limitations
More information needed
## Tr... | [
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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": []} | ahmedabdo/blip-lora-v2 | null | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Astowny/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:51:27+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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"## Usage (with Stable-baselines3)\nTODO: Add your code"
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] |
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. -->
# results9
This model is a fine-tuned version of [mrm8488/distilbert-finetuned-sarcasm-classification](https://huggingface.co/mrm8... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "mrm8488/distilbert-finetuned-sarcasm-classification", "model-index": [{"name": "results9", "results": []}]} | dianamihalache27/results9 | null | [
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|
# results9
This model is a fine-tuned version of mrm8488/distilbert-finetuned-sarcasm-classification on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7560
- Accuracy: 0.6888
- F1: 0.2653
## Model description
More information needed
## Intended uses & limitations
More inf... | [
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text-generation | null |
# Model Card for Psyfighter2-13B-vore-GGUF
This is a quantized version of [SnakyMcSnekFace/Psyfighter2-13B-vore](https://huggingface.co/SnakyMcSnekFace/Psyfighter2-13B-vore) model.
This model is a version of [KoboldAI/LLaMA2-13B-Psyfighter2](https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2) finetuned to better... | {"language": ["en"], "license": "llama2", "tags": ["storywriting", "finetuned", "roleplay", "vore", "not-for-all-audiences", "gguf", "nsfw", "uncensored"], "pipeline_tag": "text-generation", "inference": false, "base_model": "SnakyMcSnekFace/Psyfighter2-13B-vore", "model_type": "llama", "prompt_template": "Below is an ... | SnakyMcSnekFace/Psyfighter2-13B-vore-GGUF | null | [
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"2305.14314",
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|
# Model Card for Psyfighter2-13B-vore-GGUF
This is a quantized version of SnakyMcSnekFace/Psyfighter2-13B-vore model.
This model is a version of KoboldAI/LLaMA2-13B-Psyfighter2 finetuned to better understand vore context. The primary purpose of this model is to be a storywriting assistant, as well as a conversationa... | [
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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": []} | yuhuixu/mistral-7b-sft-beta-ultrafeedback-v0.1 | null | [
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|
# 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]:
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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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-uzattal | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | konawa/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:57:37+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | null | # karakuri-midroze-mg-Q6_K.gguf
下記モデルをDARE_TIES方式にてmergeしたものをQ6_Kに量子化しています。
- [karakuri-ai/karakuri-lm-70b-v0.1](https://huggingface.co/karakuri-ai/karakuri-lm-70b-v0.1)
- [sophosympatheia/Midnight-Rose-70B-v2.0.3](https://huggingface.co/sophosympatheia/Midnight-Rose-70B-v2.0.3)
## モデル概要
これは日本語の特定の能力がmergeにより、どのように向... | {"language": ["ja"], "tags": ["merge"], "pipeline_tag": "text-generation"} | sbtom/karakuri-midroze-mg.gguf | null | [
"merge",
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"ja",
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#merge #text-generation #ja #region-us
| # karakuri-midroze-mg-Q6_K.gguf
下記モデルをDARE_TIES方式にてmergeしたものをQ6_Kに量子化しています。
- karakuri-ai/karakuri-lm-70b-v0.1
- sophosympatheia/Midnight-Rose-70B-v2.0.3
## モデル概要
これは日本語の特定の能力がmergeにより、どのように向上するかをテストするための実験モデルです。
## ライセンス
merge元の各モデルのライセンスに従います。 | [
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] |
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": []} | hiramochoavea/homomex24-beto-85-15 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T13:58:05+00:00 | [
"1910.09700"
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#transformers #safetensors #bert #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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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question-answering | 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. -->
# Albert-finetuned-ChennaiQA-final
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/alb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "albert/albert-base-v2", "model-index": [{"name": "Albert-finetuned-ChennaiQA-final", "results": []}]} | aditi2212/Albert-finetuned-ChennaiQA-final | null | [
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|
# Albert-finetuned-ChennaiQA-final
This model is a fine-tuned version of albert/albert-base-v2 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 h... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | aa-unh/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:59:09+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
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"TAGS\n#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n## Downloading the model\n\nAfter installing Sample-Factory, download the model with:## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | saousan/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:59:22+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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"## Usage (with Stable-baselines3)\nTODO: Add your code"
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
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"## Usage (with Stable-baselines3)\nTODO: Add you... | [
31,
35,
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Likeuk/ppo-LunarLander-v2-likek | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:59:34+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
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 huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | SamirLahouar/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T13:59:53+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
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35,
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/bunnycore/CreativeSmart-2x7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Nexusflow/Starling-LM-7B-beta", "bunnycore/Chimera-Apex-7B"], "base_model": "bunnycore/CreativeSmart-2x7B", "quantized_by": "mradermacher"} | mradermacher/CreativeSmart-2x7B-GGUF | null | [
"transformers",
"gguf",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"Nexusflow/Starling-LM-7B-beta",
"bunnycore/Chimera-Apex-7B",
"en",
"base_model:bunnycore/CreativeSmart-2x7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T14:05:37+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #moe #frankenmoe #merge #mergekit #lazymergekit #Nexusflow/Starling-LM-7B-beta #bunnycore/Chimera-Apex-7B #en #base_model-bunnycore/CreativeSmart-2x7B #license-apache-2.0 #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... | [] | [
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] | [
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] |
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. -->
# llama2-7b-base
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama2-7b-base", "results": []}]} | K-kiron/llama2-7b-base | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-13T14:06:27+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| llama2-7b-base
==============
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3907
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_ratio:... | [
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text-generation | transformers |
# Main model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberTron_Swahili_SFT
This model will be fully swahili speaking despite being adapted from and english speaking model : All training applied will be in swahili or other dialects @
undergoing fine tun... | {"language": ["sw", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["iamshnoo/alpaca-cleaned-swahili", "Rogendo/English-Swahili-Sentence-Pairs", "mwitiderrick/SwahiliPlatypus", "uonlp/CulturaX", "lmsys/mt_be... | LeroyDyer/Mixtral_AI_CyberTron_Swahili_7b | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"conversational",
"sw",
"en",
"dataset:iamshnoo/alpaca-cleaned-swahili",
"dataset:Rogendo/English-Swahili-Sentence-Pairs",
"dataset:mwitiderrick/SwahiliPlatypus",
"dataset:uonlp/Cult... | null | 2024-04-13T14:07:32+00:00 | [] | [
"sw",
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #conversational #sw #en #dataset-iamshnoo/alpaca-cleaned-swahili #dataset-Rogendo/English-Swahili-Sentence-Pairs #dataset-mwitiderrick/SwahiliPlatypus #dataset-uonlp/CulturaX #dataset-lmsys/mt_bench_human_judgments #base_... |
# Main model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : LeroyDyer/Mixtral_AI_CyberTron_Swahili_SFT
This model will be fully swahili speaking despite being adapted from and english speaking model : All training applied will be in swahili or other dialects @
undergoing fine tuning stages a... | [
"# Main model\n- Developed by: LeroyDyer\n- License: apache-2.0\n- Finetuned from model : LeroyDyer/Mixtral_AI_CyberTron_Swahili_SFT\nThis model will be fully swahili speaking despite being adapted from and english speaking model : All training applied will be in swahili or other dialects @\n\nundergoing fine tunin... | [
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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. -->
# results11
This model is a fine-tuned version of [helinivan/english-sarcasm-detector](https://huggingface.co/helinivan/english-sa... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "helinivan/english-sarcasm-detector", "model-index": [{"name": "results11", "results": []}]} | dianamihalache27/results11 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:helinivan/english-sarcasm-detector",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T14:08:56+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-helinivan/english-sarcasm-detector #autotrain_compatible #endpoints_compatible #region-us
|
# results11
This model is a fine-tuned version of helinivan/english-sarcasm-detector on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6606
- Accuracy: 0.7233
- F1: 0.4286
## Model description
More information needed
## Intended uses & limitations
More information needed
... | [
"# results11\n\nThis model is a fine-tuned version of helinivan/english-sarcasm-detector on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.6606\n- Accuracy: 0.7233\n- F1: 0.4286",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore... | [
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [openchat/openchat_3.5](https://huggingface.co/openchat/openchat_3.5... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["berkeley-nest/Starling-LM-7B-alpha", "FuseAI/OpenChat-3.5-7B-Solar", "openchat/openchat_3.5", "FuseAI/OpenChat-3.5-7B-Mixtral"]} | nlpguy/StarFusion-alpha1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2403.19522",
"base_model:berkeley-nest/Starling-LM-7B-alpha",
"base_model:FuseAI/OpenChat-3.5-7B-Solar",
"base_model:openchat/openchat_3.5",
"base_model:FuseAI/OpenChat-3.5-7B-Mixtral",
... | null | 2024-04-13T14:09:00+00:00 | [
"2403.19522"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #arxiv-2403.19522 #base_model-berkeley-nest/Starling-LM-7B-alpha #base_model-FuseAI/OpenChat-3.5-7B-Solar #base_model-openchat/openchat_3.5 #base_model-FuseAI/OpenChat-3.5-7B-Mixtral #license-apache-2.0 #autotrain_compatible #end... | # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using openchat/openchat_3.5 as a base.
### Models Merged
The following models were included in the merge:
* berkeley-nest/Starling-LM-7B-alpha
* ... | [
"# 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 Model Stock merge method using openchat/openchat_3.5 as a base.",
"### Models Merged\n\nThe following models were included in the merge:\n* berkeley-nes... | [
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null | null |
# Cran-May/Mistral-22B-v0.2-Q2_K-GGUF
This model was converted to GGUF format from [`Vezora/Mistral-22B-v0.2`](https://huggingface.co/Vezora/Mistral-22B-v0.2) 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://huggingf... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Cran-May/Mistral-22B-v0.2-Q2_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T14:12:36+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# Cran-May/Mistral-22B-v0.2-Q2_K-GGUF
This model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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:
Not... | [
"# Cran-May/Mistral-22B-v0.2-Q2_K-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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:... | [
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"## Use with URL... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# Cran-May/Mistral-22B-v0.2-Q2_K-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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 ... |
text-generation | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV4_16bit | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T14:14:35+00:00 | [] | [
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# Uploaded model
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<img src="URL width="200"/>
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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": []} | YOUSSEF88/gemma-2b-mt-nl-sql-v1 | null | [
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# Model Card for Model ID
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [openchat/openchat_3.5](https://huggingface.co/openchat/openchat_3.5... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["rishiraj/smol-7b", "FuseAI/OpenChat-3.5-7B-Mixtral", "openchat/openchat_3.5", "berkeley-nest/Starling-LM-7B-alpha", "FuseAI/OpenChat-3.5-7B-Solar"]} | nlpguy/StarFusion-alpha2 | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
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The following models were included in the merge:
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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": []} | zzttbrdd/sn6_00m | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# results1_2
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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": []} | zzttbrdd/sn6_01m | null | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Mistral-7B-Instruct-v0.1 - GGUF
- Model creator: https://huggingface.co/mistralai/
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Mistral-7B-Instruct-v0.1 - GGUF
* Model creator: URL
* Original model: URL
Name: Mistral-7B-Instruct-v0.1.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Mistral-7B-v0.1 - GGUF
- Model creator: https://huggingface.co/mistralai/
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Github
Discord
Request more models
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* Model creator: URL
* Original model: URL
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text-to-audio | transformers | # Tango 2: Aligning Diffusion-based Text-to-Audio Generative Models through Direct Preference Optimization
🎵 We developed **Tango 2** building upon **Tango** for text-to-audio generation. Tango 2 was initialized with the Tango-full-ft checkpoint and underwent alignment training using DPO on audio-alpaca, a pairwise t... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["text-to-audio"], "datasets": ["bjoernp/AudioCaps", "declare-lab/audio-alpaca"], "pipeline_tag": "text-to-audio"} | declare-lab/tango2-full | null | [
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| # Tango 2: Aligning Diffusion-based Text-to-Audio Generative Models through Direct Preference Optimization
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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. -->
# results1_3
This model is a fine-tuned version of [jkhan447/sarcasm-detection-Bert-base-uncased](https://huggingface.co/jkhan447/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "jkhan447/sarcasm-detection-Bert-base-uncased", "model-index": [{"name": "results1_3", "results": []}]} | dianamihalache27/results1_3 | null | [
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This model is a fine-tuned version of jkhan447/sarcasm-detection-Bert-base-uncased on an unknown dataset.
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More information needed
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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": []} | likhithasapu/generator-gemma-2b-it | null | [
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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": []} | domenicrosati/beavertails_attack_meta-llama_Llama-2-7b-chat-hf_3e-5_10k | null | [
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# 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.
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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": []} | zzttbrdd/sn6_05m | null | [
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# 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.
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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. -->
# results
This model is a fine-tuned version of [intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-s... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "intfloat/multilingual-e5-small", "model-index": [{"name": "results", "results": []}]} | Samoed/e5-small-hackaton | null | [
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| results
=======
This model is a fine-tuned version of intfloat/multilingual-e5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2888
* F1: 0.8188
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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": []} | HeydarS/stable_lm2_witQA_peft_v51 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# amazon_helpfulness_classification_on_25M_full_pretrained_best_epoch_f1
This model is a fine-tuned version of [ltuzova/amazon_dom... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "ltuzova/amazon_domain_pretrained_model", "model-index": [{"name": "amazon_helpfulness_classification_on_25M_full_pretrained_best_epoch_f1", "results": []}]} | ltuzova/amazon_helpfulness_classification_on_25M_full_pretrained_best_epoch_f1 | null | [
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| amazon\_helpfulness\_classification\_on\_25M\_full\_pretrained\_best\_epoch\_f1
===============================================================================
This model is a fine-tuned version of ltuzova/amazon\_domain\_pretrained\_model on an unknown dataset.
It achieves the following results on the evaluation set... | [
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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": []} | Arati2310/opt125m-lora | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | adapter-transformers |
# Adapter `BigTMiami/AA_adp_seq_bn_P_micro` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_25M_10_000_condensed](https://huggingface.co/datasets/BigTMiami/amazon_25M_10_000_condensed/) dataset and includes a prediction head for masked lm.
T... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_25M_10_000_condensed"]} | BigTMiami/AA_adp_seq_bn_P_micro | null | [
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|
# Adapter 'BigTMiami/AA_adp_seq_bn_P_micro' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_25M_10_000_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
... | [
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null | transformers |
# Abirate/gemma-1.1-7b-it-finetuned-on-kaggle-writeups-Q4_K_M-GGUF
This model was converted to GGUF format from [`Abirate/gemma-1.1-7b-it-finetuned-on-kaggle-writeups`](https://huggingface.co/Abirate/gemma-1.1-7b-it-finetuned-on-kaggle-writeups) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/s... | {"library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | Abirate/gemma-1.1-7b-it-finetuned-on-kaggle-writeups-Q4_K_M-GGUF | null | [
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#transformers #gguf #llama-cpp #gguf-my-repo #endpoints_compatible #region-us
|
# Abirate/gemma-1.1-7b-it-finetuned-on-kaggle-writeups-Q4_K_M-GGUF
This model was converted to GGUF format from 'Abirate/gemma-1.1-7b-it-finetuned-on-kaggle-writeups' 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.
... | [
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null | adapter-transformers |
# Adapter `BigTMiami/AA_adp_seq_bn_C_micro` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
This adapter w... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/AA_adp_seq_bn_C_micro | null | [
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|
# Adapter 'BigTMiami/AA_adp_seq_bn_C_micro' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
N... | [
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image-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. -->
# Psoriasis-M-vit-large-patch16-224-in21k
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-large-patch16-224-in21k", "pipeline_tag": "image-classification", "model-index": [{"name": "Psoriasis-M-vit-large-patch16-224-in21k", "results": []}]} | ahmedesmail16/Psoriasis-M-vit-large-patch16-224-in21k | null | [
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| Psoriasis-M-vit-large-patch16-224-in21k
=======================================
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1464
* Accuracy: 0.9792
Model description
-----------------
More info... | [
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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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-ghxdzjf | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
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null | null |
# Cran-May/Mistral-22B-v0.2-Q5_K_M-GGUF
This model was converted to GGUF format from [`Vezora/Mistral-22B-v0.2`](https://huggingface.co/Vezora/Mistral-22B-v0.2) 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://huggin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Cran-May/Mistral-22B-v0.2-Q5_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
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#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# Cran-May/Mistral-22B-v0.2-Q5_K_M-GGUF
This model was converted to GGUF format from 'Vezora/Mistral-22B-v0.2' 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:
N... | [
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image-segmentation | 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. -->
# my_model_3
This model is a fine-tuned version of [apple/deeplabv3-mobilevit-xx-small](https://huggingface.co/apple/deeplabv3-mob... | {"tags": ["generated_from_trainer"], "base_model": "apple/deeplabv3-mobilevit-xx-small", "pipeline_tag": "image-segmentation", "model-index": [{"name": "my_model_3", "results": []}]} | MatyasHajek/my_model_3 | null | [
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| my\_model\_3
============
This model is a fine-tuned version of apple/deeplabv3-mobilevit-xx-small on an FrsECM/CelebAHQ\_mask dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2560
* Mean Iou: 0.5809
* Mean Accuracy: 0.6806
* Overall Accuracy: 0.9139
* Per Category Iou: [0.891968611823081... | [
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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": []} | minhcrafters/DialoGPT-medium-mental-health-finetuned | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | sabber/mi-chat-zephyr-7b-beta-zuri-convo | null | [
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# 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.
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_MiniTron_II
This is a smaller model easier for fine tuning !! (faster)
This model was created from a fresh untrained model and has only been trained with swahili : it is still training!
Plus... | {"language": ["en", "sw"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["iamshnoo/alpaca-cleaned-swahili"], "base_model": "LeroyDyer/Mixtral_AI_MiniTron_II"} | LeroyDyer/Mixtral_AI_MiniTron_Swahili_3.75b | null | [
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|
# Uploaded model
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- License: apache-2.0
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This is a smaller model easier for fine tuning !! (faster)
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Plus it will run... | [
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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. -->
# Medical-NER-finetuned-ner
This model is a fine-tuned version of [Clinical-AI-Apollo/Medical-NER](https://huggingface.co/Clinical... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "Clinical-AI-Apollo/Medical-NER", "model-index": [{"name": "Medical-NER-finetuned-ner", "results": []}]} | jaggernaut007/Medical-NER-finetuned-ner | null | [
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| Medical-NER-finetuned-ner
=========================
This model is a fine-tuned version of Clinical-AI-Apollo/Medical-NER on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2045
* Precision: 0.9394
* Recall: 0.9282
* F1: 0.9338
* Accuracy: 0.9296
Model description
-----------... | [
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text-generation | transformers |
# Ognoexperiment27multi_verse_modelExperiment27pastiche-7B
Ognoexperiment27multi_verse_modelExperiment27pastiche-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Ognoexperiment27multi_verse_modelExperiment27pastiche-7B | null | [
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|
# Ognoexperiment27multi_verse_modelExperiment27pastiche-7B
Ognoexperiment27multi_verse_modelExperiment27pastiche-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | adapter-transformers |
# Adapter `BigTMiami/AA_adp_seq_bn_P_micro_seq_bn_C_micro` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/AA_adp_seq_bn_P_micro_seq_bn_C_micro | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/AA_adp_seq_bn_P_micro_seq_bn_C_micro' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install '... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | NBA55/Final_llama2-7B-learning_rate_schedular_cosine | null | [
"peft",
"region:us"
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
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- llm_int8_skip_modules: None
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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": []} | heyllm234/sc30 | null | [
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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. -->
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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. -->
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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| ## Training procedure
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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. -->
# pegasus-ft
This model is a fine-tuned version of [haesun/pegasus-samsum](https://huggingface.co/haesun/pegasus-samsum) on the No... | {"tags": ["generated_from_trainer"], "base_model": "haesun/pegasus-samsum", "model-index": [{"name": "pegasus-ft", "results": []}]} | knlp/pegasus-ft | null | [
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| pegasus-ft
==========
This model is a fine-tuned version of haesun/pegasus-samsum on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9779
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
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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. -->
# 7_epoch_edu_model-finetuned-fintech
This model was trained from scratch on the generator dataset.
It achieves the following resu... | {"tags": ["generated_from_trainer"], "datasets": ["generator"], "model-index": [{"name": "7_epoch_edu_model-finetuned-fintech", "results": []}]} | Pastushoc/7_epoch_edu_model-finetuned-fintech | null | [
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| 7\_epoch\_edu\_model-finetuned-fintech
======================================
This model was trained from scratch on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 4.8162
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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image-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. -->
# Psoriasis-Aug-M2-vit-large-patch16-224-in21k
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-large-patch16-224-in21k", "model-index": [{"name": "Psoriasis-Aug-M2-vit-large-patch16-224-in21k", "results": []}]} | ahmedesmail16/Psoriasis-Aug-M2-vit-large-patch16-224-in21k | null | [
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| Psoriasis-Aug-M2-vit-large-patch16-224-in21k
============================================
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0268
* Accuracy: 0.9792
Model description
-----------------
... | [
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text-generation | transformers | # Paradigm
This is a 8bpw exl2 quant of the Paradigm 7B model.
ChatML or Alpaca instruct sequences both work.
----
An incredibly effective and intelligent RP model designed to be the best bot yo... | {"language": ["en"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "datasets": ["ResplendentAI/Alpaca_NSFW_Shuffled", "unalignment/toxic-dpo-v0.2"], "base_model": ["liminerity/Multiverse-Experiment-slerp-7b", "jeiku/Alpaca_NSFW_Shuffled_Mistral", "ResplendentAI/Datura_7B", "C... | RossAscends/Paradigm_7B_6bpw_exl2 | null | [
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"base_model:Respl... | null | 2024-04-13T15:27:13+00:00 | [] | [
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] | TAGS
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========
This is a 8bpw exl2 quant of the Paradigm 7B model.
ChatML or Alpaca instruct sequences both work.
---
!image/jpeg
An incredibly effective and intelligent RP model designed to be the best bot you've ever used. I hope you like it!
GGUF available here: URL
Open LLM Leaderboard Evaluation R... | [
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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. -->
# patent-instruct-finetune-model-ner-stablelm
This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingf... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "stabilityai/stablelm-2-1_6b", "model-index": [{"name": "patent-instruct-finetune-model-ner-stablelm", "results": []}]} | shubhamgantayat/patent-instruct-finetune-model-ner-stablelm | null | [
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"license:other",
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] | null | 2024-04-13T15:27:31+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-stabilityai/stablelm-2-1_6b #license-other #region-us
| patent-instruct-finetune-model-ner-stablelm
===========================================
This model is a fine-tuned version of stabilityai/stablelm-2-1\_6b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7565
Model description
-----------------
More information needed
In... | [
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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. -->
# NeRUBioS_xlm_RoBERTa_base_Training_Development
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggi... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "NeRUBioS_xlm_RoBERTa_base_Training_Development", "results": []}]} | ajtamayoh/NeRUBioS_xlm_RoBERTa_base_Training_Development | null | [
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"base_model:FacebookAI/xlm-roberta-base",
"license:mit",
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] | null | 2024-04-13T15:28:32+00:00 | [] | [] | TAGS
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| NeRUBioS\_xlm\_RoBERTa\_base\_Training\_Development
===================================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3324
* Negref Precision: 0.5672
* Negref Recall: 0.5696
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 12",
"### Trainin... | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-FacebookAI/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... | [
57,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-FacebookAI/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* le... |
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