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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": []} | rasika00/testing-pushing | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T11:37:56+00:00 | [
"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# events-mem-large
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-large", "model-index": [{"name": "events-mem-large", "results": []}]} | eddieman78/events-mem-large | null | [
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| events-mem-large
================
This model is a fine-tuned version of google/flan-t5-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More info... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 2\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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text-generation | transformers |
# mlx-community/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit
This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggi... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#... | mlx-community/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit | null | [
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# mlx-community/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit
This model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.
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object-detection | 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. -->
# tabletransstructrecog_finetuned_pubt1m_lstabletransstrucrecogv1_session2
This model was trained from scratch on an unknown datas... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "tabletransstructrecog_finetuned_pubt1m_lstabletransstrucrecogv1_session2", "results": []}]} | nsugianto/tabletransstructrecog_finetuned_pubt1m_lstabletransstrucrecogv1_session2 | null | [
"transformers",
"tensorboard",
"safetensors",
"table-transformer",
"object-detection",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #table-transformer #object-detection #generated_from_trainer #endpoints_compatible #region-us
|
# tabletransstructrecog_finetuned_pubt1m_lstabletransstrucrecogv1_session2
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="ilanasto/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | ilanasto/q-FrozenLake-v1-4x4-noSlippery | null | [
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"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | null |
## Example model file tracked with [git-theta](https://github.com/r-three/git-theta)
| {"license": "apache-2.0", "tags": ["git-theta"]} | julien-c/git-theta-small-pytorch | null | [
"pytorch",
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"license:apache-2.0",
"region:us"
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|
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="ilanasto/taxi-RL", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-RL", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/- ... | ilanasto/taxi-RL | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | Andreas95/test | null | [
"sentence-transformers",
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"xlm-roberta",
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"endpoints_compatible",
"region:us"
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#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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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": []} | codevang/fast_small_14 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Model type:
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# biomistral-7b-dpo-full-sft-wo-kqa_silver_wogold
This model is a fine-tuned version of [Minbyul/biomistral-7b-wo-kqa_silver_wogol... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/biomistral-7b-wo-kqa_silver_wogold-sft", "model-index": [{"name": "biomistral-7b-dpo-full-sft-wo-kqa_sil... | Minbyul/biomistral-7b-dpo-full-sft-wo-kqa_silver_wogold | null | [
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"autotrain_compatib... | null | 2024-04-30T11:47:51+00:00 | [] | [] | TAGS
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=================================================
This model is a fine-tuned version of Minbyul/biomistral-7b-wo-kqa\_silver\_wogold-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3493
* ... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - zhenjili/cat_dreambooth
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "a photo of sks cat"} | zhenjili/cat_dreambooth | null | [
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"stable-diffusion-diffusers",
"base_model:CompVis/stable-diffusion-v1-4",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:... | null | 2024-04-30T11:48:31+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# DreamBooth - zhenjili/cat_dreambooth
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks cat using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: True.
## Intended uses & limitations
... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DevsDoCode/Llama-3-8B-Instruct-1048k
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llam... | {"language": ["en"], "library_name": "transformers", "base_model": "DevsDoCode/Llama-3-8B-Instruct-1048k", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Instruct-1048k-GGUF | null | [
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"endpoints_compatible",
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"en"
] | TAGS
#transformers #gguf #en #base_model-DevsDoCode/Llama-3-8B-Instruct-1048k #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. ... | [] | [
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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. -->
# first_test_trainer
This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-v1.6-mistral-7b-hf", "model-index": [{"name": "first_test_trainer", "results": []}]} | matchmaking/first_test_trainer | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:llava-hf/llava-v1.6-mistral-7b-hf",
"region:us"
] | null | 2024-04-30T11:55:02+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-llava-hf/llava-v1.6-mistral-7b-hf #region-us
|
# first_test_trainer
This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf 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 hyp... | [
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text-classification | setfit |
# SetFit with intfloat/multilingual-e5-large
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) as the Sentence Transformer embedding model. A [Logistic... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "intfloat/multilingual-e5-large", "widget": [{"text": "What promotions in RTEC have shown declining effectiveness and can be discontinued?"}, {"text": "W... | vgarg/promo_prescriptive_gpt_30_04_2024 | null | [
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"xlm-roberta",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:intfloat/multilingual-e5-large",
"model-index",
"region:us"
] | null | 2024-04-30T11:55:15+00:00 | [
"2209.11055"
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#setfit #safetensors #xlm-roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-intfloat/multilingual-e5-large #model-index #region-us
| SetFit with intfloat/multilingual-e5-large
==========================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses intfloat/multilingual-e5-large as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The mode... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: intfloat/multilingual-e5-large\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 7 classes",
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-1e-8-m-1-e-3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sente... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-1e-8-m-1-e-3 | null | [
"sentence-transformers",
"safetensors",
"mpnet",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T11:55:35+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-1e-8-m-1-e-3
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you h... | [
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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... | David0702/ppo-LunarLander-v2-1 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-30T11:57:08+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 | transformers |
# mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit
This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#... | mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit | null | [
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"dataset:llm-jp/oasst1-21k-ja",
"dataset:llm-jp/oasst2-33k-en",
"dataset:llm-... | null | 2024-04-30T11:58:35+00:00 | [] | [
"en",
"ja"
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# mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit
This model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.
Refer to the original model card for more de... | [
"# mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-4bit\nThis model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.\nRefer to the original model card for m... | [
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text-generation | transformers | # This is a [DADA tuned](https://huggingface.co/Envoid/Mixtral-Instruct-ITR-DADA-8x7B) version of [ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B)
### As always, experimental model, results may be unpredictable.
Th... | {"license": "cc-by-nc-4.0"} | Envoid/Poppy_Porpoise-DADA-8B | null | [
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"safetensors",
"llama",
"text-generation",
"conversational",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T11:59:00+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # This is a DADA tuned version of ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B
### As always, experimental model, results may be unpredictable.
![](URL
The intermediate merge model was finetuned specifically for the original model and then merged onto it via 50/50 SLERP merge.
As far as RP goes my current testing set... | [
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"### As always, experimental model, results may be unpredictable. \n\n![](URL\n\nThe intermediate merge model was finetuned specifically for the original model and then merged onto it via 50/50 SLERP merge.\n\nAs far as RP goes my curr... | [
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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": []} | Anas989898/llava-mistral-7b-finetuned | null | [
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"llava_mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T12:01:33+00:00 | [
"1910.09700"
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#transformers #safetensors #llava_mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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... | ArnavModanwal/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-30T12:02:29+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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] |
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": []} | HenryCai1129/adapter-llama-adapterhappy2sad-1k-search-noshuffle-50-0.003 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T12:02:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
## [Circuitbentphotography](https://d14i3advvh2bvd.cloudfront.net/d7ec7ae7eb05398000dac393417202696950ae2f3f9e96a6f624a28e70fbd5cd.tar)
LoRA trained on [Eden.art](https://eden.art) by [dawnia](https://app.eden.art/creators/dawnia) on 11 images.
* [How to train Concepts (LoRAs) on Eden](https://docs.eden.art/docs/gui... | {"language": ["en"], "thumbnail": "https://d14i3advvh2bvd.cloudfront.net/ef24f72598a41df92f3a369d2230eb7e1b9f39b1ed98d2f7bacdc9c9854e06f1.jpg", "base_model": "stabilityai/stable-diffusion-xl-base-1.0"} | eden-art/Circuitbentphotography | null | [
"en",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
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"en"
] | TAGS
#en #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
## Circuitbentphotography
LoRA trained on URL by dawnia on 11 images.
* How to train Concepts (LoRAs) on Eden
* How to export LoRAs from Eden
!Samples | [
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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. -->
# tweet_sentiment
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "tweet_sentiment", "results": []}]} | nischalsingh/tweet_sentiment | null | [
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"safetensors",
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"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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|
# tweet_sentiment
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0486
- Accuracy: 0.9902
- F1: 0.9863
## Model description
More information needed
## Intended uses & limitations
More information needed
## Tra... | [
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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": []} | jorgefg03/mdeberta-v3-base-autext2024 | null | [
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"safetensors",
"deberta-v2",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #deberta-v2 #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:
- Language(s) (NLP):
- License... | [
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-f75baf6")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-f75baf6 | null | [
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"mpnet",
"feature-extraction",
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"license:apache-2.0",
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"region:us"
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] | TAGS
#transformers #safetensors #mpnet #feature-extraction #en #license-apache-2.0 #endpoints_compatible #region-us
|
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
This work was possible thanks to the SetFit library and the work of:
Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo ... | [
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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": []} | salmanjara/llavatuned | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T12:05:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# mistral_finetued_on_scigen_v3
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_finetued_on_scigen_v3", "results": []}]} | moetezsa/mistral_finetued_on_scigen_v3 | null | [
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|
# mistral_finetued_on_scigen_v3
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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text-generation | transformers |
# Model details
This is a quick experiment on llamafied phi-3 with only 1000 orpo steps from an azureml translated german orca binarized-dataset (johannhartmann/mistralorpo), with original phi-3 prompt template. The immediate result is not really good, but also not bad enough to disencourage further experiments.
# B... | {"language": ["en", "de"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "cstr/phi-3-orpo-v8_16"} | cstr/phi-3-orpo-v9_16 | null | [
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| Model details
=============
This is a quick experiment on llamafied phi-3 with only 1000 orpo steps from an azureml translated german orca binarized-dataset (johannhartmann/mistralorpo), with original phi-3 prompt template. The immediate result is not really good, but also not bad enough to disencourage further exper... | [] | [
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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. -->
# trained_serbian
This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "trained_serbian", "results": []}]} | annamariagnat/trained_serbian | null | [
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| trained\_serbian
================
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0786
* Precision: 0.8138
* Recall: 0.8795
* F1: 0.8454
* Accuracy: 0.9774
Model description
----------------... | [
"### 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* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
## Exllama v2 Quantizations of Llama-3-8B-Ultra-Instruct
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each bran... | {"license": "llama3", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Undi95/Meta-Llama-3-8B-Instruct-hf"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Llama-3-8B-Ultra-Instruct-exl2 | null | [
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#transformers #mergekit #merge #text-generation #base_model-Undi95/Meta-Llama-3-8B-Instruct-hf #license-llama3 #endpoints_compatible #region-us
| Exllama v2 Quantizations of Llama-3-8B-Ultra-Instruct
-----------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.20 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per w... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/elinas/Llama-3-8B-Ultra-Instruct
You should use `--override-kv tokenizer.ggml.pre=str:llama3` and a current llama.cpp version to work around a... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "elinas/Llama-3-8B-Ultra-Instruct", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Ultra-Instruct-GGUF | null | [
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"region:us"
] | null | 2024-04-30T12:07:34+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-elinas/Llama-3-8B-Ultra-Instruct #license-llama3 #endpoints_compatible #region-us
| About
-----
static quants of URL
You should use '--override-kv URL=str:llama3' and a current URL version to work around a bug in URL that made these quants. (see 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 de... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** CarlosFersoft
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | CarlosFersoft/GPBusiness0001_LoRA | null | [
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|
# Uploaded model
- Developed by: CarlosFersoft
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | Quantizations of https://huggingface.co/PygmalionAI/mythalion-13b
# From original readme
## Prompting
This model can be prompted using both the Alpaca and [Pygmalion formatting](https://huggingface.co/PygmalionAI/pygmalion-2-13b#prompting).
**Alpaca formatting**:
```
### Instruction:
<prompt>
### Response:
<leave ... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "mythalion-13b"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/mythalion-13b-imatrix-GGUF | null | [
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#transformers #gguf #imatrix #mythalion-13b #text-generation #en #license-other #region-us
| Quantizations of URL
# From original readme
## Prompting
This model can be prompted using both the Alpaca and Pygmalion formatting.
Alpaca formatting:
Pygmalion/Metharme formatting:
The model has been trained on prompts using three different roles, which are denoted by the following tokens: '<|system|>', '<|us... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Minbyul/meditron-7b-dpo-full-sft-wo-kqa_golden
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. ... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/meditron-7b-dpo-full-sft-wo-kqa_golden", "quantized_by":... | mradermacher/meditron-7b-dpo-full-sft-wo-kqa_golden-GGUF | null | [
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| 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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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": "unsloth/llama-3-8b"} | sravaniayyagari/lora_model | null | [
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"safetensors",
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-unsloth/llama-3-8b #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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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. -->
# llava-1.5-7b-hf-ft-museum-updated
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-museum-updated", "results": []}]} | somnathsingh31/llava-1.5-7b-hf-ft-museum | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:llava-hf/llava-1.5-7b-hf",
"has_space",
"region:us"
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #has_space #region-us
|
# llava-1.5-7b-hf-ft-museum-updated
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on the The Metropolitan
Museum of Art(URL dataset.
## Model description
This project designed to enrich museum experiences by enabling users to explore and comprehend museum artifacts through image-based queries.
#... | [
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-2502093")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-2502093 | null | [
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"mpnet",
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"en"
] | TAGS
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|
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
This work was possible thanks to the SetFit library and the work of:
Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo ... | [
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-bcfa83c")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-bcfa83c | null | [
"transformers",
"safetensors",
"mpnet",
"feature-extraction",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #safetensors #mpnet #feature-extraction #en #license-apache-2.0 #endpoints_compatible #region-us
|
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
This work was possible thanks to the SetFit library and the work of:
Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** cstr
- **License:** apache-2.0
- **Finetuned from model :** cstr/phi-3-orpo-v8_16
This llama 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/image... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "cstr/phi-3-orpo-v8_16"} | cstr/phi-3-orpo-v9_4 | null | [
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|
# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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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": []} | Narkantak/phi3-Intent-entity-Classifier-Ashu | 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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- Shared by [optional]:
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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. -->
# working
This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-1... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/Phi-3-mini-128k-instruct", "model-index": [{"name": "working", "results": []}]} | Narkantak/working | null | [
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| working
=======
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6374
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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image-to-3d | fasttext | # 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).
## Mod... | {"language": ["fr", "en"], "license": "apache-2.0", "library_name": "fasttext", "tags": ["biology"], "datasets": ["HuggingFaceFW/fineweb"], "metrics": ["charcut_mt"], "pipeline_tag": "image-to-3d"} | hjebuoebduede/BRICK | 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. -->
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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
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.4074123501777649
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f1_micro: 0.8388888888888889
f1_weighted: 0.8391621032797504
precision_macro: 0.884004884004884
precision_micro: 0.8388888888888889
precision_weighted: 0.8399267399267... | {"tags": ["autotrain", "text-classification"], "datasets": ["post-auto-v4/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Zerithas/post-auto-v4 | 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": []} | OwOOwO/finalnew3 | 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. -->
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AwanLLM/Llama-3-8B-Cumulus-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "base_model": "AwanLLM/Llama-3-8B-Cumulus-v0.1", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Cumulus-v0.1-GGUF | null | [
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| 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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null | null |
## Example of [Safetensors](https://huggingface.co/docs/safetensors) model file tracked with [git-theta](https://github.com/r-three/git-theta)
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - zhenjili/cat_dreambooth_lora_xl
<Gallery />
## Model description
These are zhenjili/cat_dreamb... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of sks cat", "wi... | zhenjili/cat_dreambooth_lora_xl | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-30T12:22:39+00:00 | [] | [] | TAGS
#diffusers #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - zhenjili/cat_dreambooth_lora_xl
<Gallery />
## Model description
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The weights were trained using DreamBooth.
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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. -->
# MiniLMv2-L6-H384_R-simplewiki-fineweb-100k_en-med_512-vN
This model is a fine-tuned version of [pszemraj/MiniLMv2-L6-H384_R-simp... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["BEE-spoke-data/fineweb-100k_en-med"], "metrics": ["accuracy"], "base_model": "pszemraj/MiniLMv2-L6-H384_R-simplewiki"} | pszemraj/MiniLMv2-L6-H384_R-fineweb-100k | null | [
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| MiniLMv2-L6-H384\_R-simplewiki-fineweb-100k\_en-med\_512-vN
===========================================================
This model is a fine-tuned version of pszemraj/MiniLMv2-L6-H384\_R-simplewiki on the BEE-spoke-data/fineweb-100k\_en-med dataset.
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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": ["unsloth"]} | mohammedriza-rahman/unsloth_techzonebot | 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": []} | Ahjeong/dpo_gemma_7b_bf16_lr5e-7_origindset_default_kl0.01-epoch1 | 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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null | transformers |
# Uploaded model
- **Developed by:** mohammedriza-rahman
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | mohammedriza-rahman/lora_model | null | [
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# Uploaded model
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- License: apache-2.0
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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. -->
# roberta-large-plm-nsp-100000
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an u... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-large", "model-index": [{"name": "roberta-large-plm-nsp-100000", "results": []}]} | mhr2004/roberta-large-plm-nsp-100000 | null | [
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| roberta-large-plm-nsp-100000
============================
This model is a fine-tuned version of roberta-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3012
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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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. -->
# cdp-multi-classifier-weighted
This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODA... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "alex-miller/ODABert", "model-index": [{"name": "cdp-multi-classifier-weighted", "results": []}]} | alex-miller/cdp-multi-classifier-weighted | null | [
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| cdp-multi-classifier-weighted
=============================
This model is a fine-tuned version of alex-miller/ODABert on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8564
* Accuracy: 0.9716
* F1: 0.8484
* Precision: 0.7788
* Recall: 0.9316
Model description
----------------... | [
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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": []} | Ahjeong/dpo_gemma_7b_bf16_lr5e-7_origindset_default_kl0.01-epoch2 | 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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multiple-choice | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Amrit05/swag_bert_finetuned
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/b... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Amrit05/swag_bert_finetuned", "results": []}]} | Amrit05/swag_bert_finetuned | null | [
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| Amrit05/swag\_bert\_finetuned
=============================
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:
* Train Loss: 0.3440
* Validation Loss: 0.5666
* Train Accuracy: 0.7995
* Epoch: 1
Model description
-----... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this ... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Eric111/Yarn-Mistral-7b-128k-DPO", "saishf/Multi-Verse-RP-7B"], "base_model": "DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO", "quantized_by": "mradermacher"} | mradermacher/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-GGUF | null | [
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| 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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] |
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": []} | Ahjeong/dpo_gemma_7b_bf16_lr5e-7_origindset_default_kl0.01-epoch3 | 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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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpolev1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"... | pietroorlandi/Reinforce-cartpolev1 | null | [
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|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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translation | 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. -->
# vinai_EnglistToVietnamese_v2
This model is a fine-tuned version of [vinai/vinai-translate-en2vi-v2](https://huggingface.co/vinai... | {"tags": ["translation", "generated_from_trainer"], "base_model": "vinai/vinai-translate-en2vi-v2", "model-index": [{"name": "vinai_EnglistToVietnamese_v2", "results": []}]} | TammyTrinh/vinai_EnglistToVietnamese_v2 | null | [
"transformers",
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"mbart",
"text2text-generation",
"translation",
"generated_from_trainer",
"base_model:vinai/vinai-translate-en2vi-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T12:37:21+00:00 | [] | [] | TAGS
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|
# vinai_EnglistToVietnamese_v2
This model is a fine-tuned version of vinai/vinai-translate-en2vi-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
### Train... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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feature-extraction | transformers | # fine-tuned/medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564
## Model Description
fine-tuned/medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
Th... | {} | fine-tuned/medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"custom_code",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #bert #feature-extraction #custom_code #endpoints_compatible #region-us
| # fine-tuned/medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564
## Model Description
fine-tuned/medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
Th... | [
"# fine-tuned/medical-20-0-16-jinaai_jina-embeddings-v2-small-en-100-gpt-3.5-turbo-0_9062874564",
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... | [
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automatic-speech-recognition | 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. -->
# w2v-bert-2.0-tamil-gpu-custom_preprocessed_v2
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/w2v-bert-2.0", "model-index": [{"name": "w2v-bert-2.0-tamil-gpu-custom_preprocessed_v2", "results": []}]} | Sajjo/w2v-bert-2.0-tamil-gpu-custom_preprocessed_v2 | null | [
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"base_model:facebook/w2v-bert-2.0",
"license:mit",
"endpoints_compatible",
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| w2v-bert-2.0-tamil-gpu-custom\_preprocessed\_v2
===============================================
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: inf
* Wer: 0.4310
Model description
-----------------
More informati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4.53567e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and ep... | [
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null | null |
# int2eh/deepseek-coder-6.7b-instruct-Q6_K-GGUF
This model was converted to GGUF format from [`deepseek-ai/deepseek-coder-6.7b-instruct`](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"license": "other", "tags": ["llama-cpp", "gguf-my-repo"], "license_name": "deepseek", "license_link": "LICENSE"} | int2eh/deepseek-coder-6.7b-instruct-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:other",
"region:us"
] | null | 2024-04-30T12:41:14+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-other #region-us
|
# int2eh/deepseek-coder-6.7b-instruct-Q6_K-GGUF
This model was converted to GGUF format from 'deepseek-ai/deepseek-coder-6.7b-instruct' 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 C... | [
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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": []} | Ahjeong/dpo_gemma_7b_bf16_lr5e-7_origindset_beta0.5_kl0.01-epoch1 | 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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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# python-gpt2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the fol... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "python-gpt2", "results": []}]} | MadMarx37/python-gpt2 | null | [
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| python-gpt2
===========
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1448
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Trai... | [
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feature-extraction | transformers |
## Bedrock Titan Text Embeddings v2
This repository contains the MTEB scores and usage examples of Bedrock Titan Text Embeddings v2. You can use the embedding model either via the Bedrock InvokeModel API or via Bedrock's batch jobs. For RAG use cases we recommend the former to embed queries during search (latency opti... | {"language": ["en", "fr", "de", "es", "ja", "zh", "hi", "ar", "it", "pt", "sv", "ko", "he", "cs", "tr", "tl", "ru", "nl", "pl", "ta", "mr", "ml", "te", "kn", "vi", "id", "fa", "hu", "el", "ro", "da", "th", "fi", "sk", "uk", "no", "bg", "ca", "sr", "hr", "lt", "sl", "et", "la", "bn", "lv", "ms", "bs", "sq", "az", "gl", ... | amazon/Titan-text-embeddings-v2 | null | [
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## Bedrock Titan Text Embeddings v2
This repository contains the MTEB scores and usage examples of Bedrock Titan Text Embeddings v2. You can use the embedding model either via the Bedrock InvokeModel API or via Bedrock's batch jobs. For RAG use cases we recommend the former to embed queries during search (latency opti... | [
"## Bedrock Titan Text Embeddings v2\nThis repository contains the MTEB scores and usage examples of Bedrock Titan Text Embeddings v2. You can use the embedding model either via the Bedrock InvokeModel API or via Bedrock's batch jobs. For RAG use cases we recommend the former to embed queries during search (latency... | [
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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": []} | Ahjeong/dpo_gemma_7b_bf16_lr5e-7_origindset_beta0.5_kl0.01-epoch2 | 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]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-dpo-full-sft-wo-kqa_silver_wogold
This model is a fine-tuned version of [Minbyul/mistral-7b-wo-kqa_silver_wogold-sft]... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/mistral-7b-wo-kqa_silver_wogold-sft", "model-index": [{"name": "mistral-7b-dpo-full-sft-wo-kqa_silver_wo... | Minbyul/mistral-7b-dpo-full-sft-wo-kqa_silver_wogold | null | [
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"base_model:Minbyul/mistral-7b-wo-kqa_silver_wogold-sft",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compa... | null | 2024-04-30T12:45:00+00:00 | [] | [] | TAGS
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| mistral-7b-dpo-full-sft-wo-kqa\_silver\_wogold
==============================================
This model is a fine-tuned version of Minbyul/mistral-7b-wo-kqa\_silver\_wogold-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0530
* Rewards/c... | [
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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": []} | Ahjeong/dpo_gemma_7b_bf16_lr5e-7_origindset_beta0.5_kl0.01-epoch3 | 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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- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AwanLLM/Llama-3-8B-Dolfin-v0.2-Instruct
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "base_model": "AwanLLM/Llama-3-8B-Dolfin-v0.2-Instruct", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Dolfin-v0.2-Instruct-GGUF | null | [
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#transformers #gguf #en #base_model-AwanLLM/Llama-3-8B-Dolfin-v0.2-Instruct #license-llama3 #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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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": []} | nuvocare/adpater_nuvochat | 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]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | EyaZr/eya-test | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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object-detection | 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. -->
# detr-resnet-50-finetuned-real-boat-dataset
This model is a fine-tuned version of [zhuchi76/detr-resnet-50-finetuned-boat-dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["boat_dataset"], "base_model": "zhuchi76/detr-resnet-50-finetuned-boat-dataset", "model-index": [{"name": "detr-resnet-50-finetuned-real-boat-dataset", "results": []}]} | SIS-2024-spring/detr-resnet-50-finetuned-real-boat-dataset | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
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|
# detr-resnet-50-finetuned-real-boat-dataset
This model is a fine-tuned version of zhuchi76/detr-resnet-50-finetuned-boat-dataset on the boat_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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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. -->
# alignment-adaptor-test04
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFace... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "alignment-adaptor-test04", "results": []}]} | Ksgk-fy/alignment-adaptor-test04 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #region-us
|
# alignment-adaptor-test04
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta 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 ... | [
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text-generation | transformers | 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: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Ne... | {"license": "apache-2.0"} | Jayant9928/orpo_v2 | 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]:
Model type:
Language(s) (NLP):
License:
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null | null | Bản sao các mô hình chatbot Việt Nam | {"language": ["vi"]} | duyv/ChatBot-GGUF-VietNam | 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": []} | Mariofm02/T5small_Business_News | 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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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": []} | Mariofm02/T5small_Politics_News | 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": []} | Ahjeong/dpo_gemma_7b_bf16_lr5e-7_origindset_beta1.1_kl0.01-epoch2 | null | [
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fill-mask | 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": []} | IDPZEro/dummy-model | 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. -->
# tulu2-13b-cost-UF-5e-7-nojudge
This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-13b", "model-index": [{"name": "tulu2-13b-cost-UF-5e-7-nojudge", "results": []}]} | just1nseo/tulu2-13b-cost-UF-5e-7-nojudge | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-allenai/tulu-2-13b #region-us
| tulu2-13b-cost-UF-5e-7-nojudge
==============================
This model is a fine-tuned version of allenai/tulu-2-13b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6931
* Rewards/chosen: 0.0268
* Rewards/rejected: 0.0260
* Rewards/accuracies: 0.5450
* Rewards/margins: 0.00... | [
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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": []} | Mariofm02/T5small_Entertainment_News | null | [
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# Model Card for Model ID
## Model Details
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fil_b64_le5_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "fil_b64_le5_s4000", "results": []}]} | mikhail-panzo/fil_b64_le5_s4000 | null | [
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| fil\_b64\_le5\_s4000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4125
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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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": []} | abc88767/model18 | 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": []} | Ahjeong/dpo_gemma_7b_bf16_lr5e-7_origindset_beta1.1_kl0.01-epoch3 | 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. -->
# tulu2-13b-cost-UI-5e-7-nojudge
This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-13b", "model-index": [{"name": "tulu2-13b-cost-UI-5e-7-nojudge", "results": []}]} | just1nseo/tulu2-13b-cost-UI-5e-7-nojudge | null | [
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| tulu2-13b-cost-UI-5e-7-nojudge
==============================
This model is a fine-tuned version of allenai/tulu-2-13b on the None dataset.
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* Loss: 0.6912
* Rewards/chosen: -0.0076
* Rewards/rejected: -0.0119
* Rewards/accuracies: 0.5960
* Rewards/margins: 0.... | [
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text-generation | transformers | # Untitled Model (1)
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:
* [EleutherAI/llemma_7b](https://... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["EleutherAI/llemma_7b", "codellama/CodeLlama-7b-hf"]} | JyoP/merged_llemma_code_llama_slerp | null | [
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| # Untitled Model (1)
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:
* EleutherAI/llemma_7b
* codellama/CodeLlama-7b-hf
### Configuration
... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v2", "quantized_by": "mradermacher"} | mradermacher/Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v2-GGUF | null | [
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| 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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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": []} | Mariofm02/T5small_Sport_News | 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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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. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | dcram/bert-finetuned-ner | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
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#transformers #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0643
* Precision: 0.9384
* Recall: 0.9510
* F1: 0.9447
* Accuracy: 0.9860
Model description
-----------------
More information nee... | [
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fil_b128_le4_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "fil_b128_le4_s4000", "results": []}]} | mikhail-panzo/fil_b128_le4_s4000 | null | [
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"base_model:microsoft/speecht5_tts",
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#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| fil\_b128\_le4\_s4000
=====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4081
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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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": []} | Mariofm02/T5small_Tech_News | null | [
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"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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. -->
# NDD-dimeshift_test-content
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-dimeshift_test-content", "results": []}]} | lgk03/NDD-dimeshift_test-content | null | [
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| NDD-dimeshift\_test-content
===========================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5833
* Accuracy: 0.8875
* F1: 0.8913
* Precision: 0.8954
* Recall: 0.8875
Model description
--------------... | [
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null | nemo |
<h1 align="center"> nach0 </h1>
<h3 align="center"> Multimodal Natural and Chemical Languages Foundation Model </h3>
<p align="center">
📃 <a href="https://arxiv.org/abs/2311.12410" target="_blank">Paper</a> • ⏬ <a href="https://huggingface.co/insilicomedicine/nach0_base" target="_blank">Base nach0</a> • ⏬ <a href=... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["chemistry"]} | insilicomedicine/nach0_large | null | [
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"chemistry",
"en",
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"2311.12410"
] | [
"en"
] | TAGS
#nemo #chemistry #en #arxiv-2311.12410 #license-cc-by-nc-4.0 #region-us
|
<h1 align="center"> nach0 </h1>
<h3 align="center"> Multimodal Natural and Chemical Languages Foundation Model </h3>
<p align="center">
<a href="URL target="_blank">Paper</a> • ⏬ <a href="URL target="_blank">Base nach0</a> • ⏬ <a href="URL target="_blank">Large nach0</a> <br>
</p>
<div align=center><img src="image... | [] | [
"TAGS\n#nemo #chemistry #en #arxiv-2311.12410 #license-cc-by-nc-4.0 #region-us \n"
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34
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"TAGS\n#nemo #chemistry #en #arxiv-2311.12410 #license-cc-by-nc-4.0 #region-us \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. -->
# vit-base-oxford-iiit-pets
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-oxford-iiit-pets", "results": []}]} | tedbelford/vit-base-oxford-iiit-pets | null | [
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"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"base_model:google/vit-base-patch16-224",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T13:11:03+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| vit-base-oxford-iiit-pets
=========================
This model is a fine-tuned version of google/vit-base-patch16-224 on the pcuenq/oxford-pets dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2094
* Accuracy: 0.9350
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\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: 5",
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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": []} | tropianhs/mistral-tweet-finetune-tropianhs | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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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. -->
# CNEC_1_1_ext_slavicbert
This model is a fine-tuned version of [DeepPavlov/bert-base-bg-cs-pl-ru-cased](https://huggingface.co/De... | {"tags": ["generated_from_trainer"], "datasets": ["cnec"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "DeepPavlov/bert-base-bg-cs-pl-ru-cased", "model-index": [{"name": "CNEC_1_1_ext_slavicbert", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {... | stulcrad/CNEC_1_1_ext_slavicbert | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:cnec",
"base_model:DeepPavlov/bert-base-bg-cs-pl-ru-cased",
"model-index",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-30T13:12:56+00:00 | [] | [] | TAGS
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| CNEC\_1\_1\_ext\_slavicbert
===========================
This model is a fine-tuned version of DeepPavlov/bert-base-bg-cs-pl-ru-cased on the cnec dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2572
* Precision: 0.8607
* Recall: 0.8915
* F1: 0.8758
* Accuracy: 0.9627
Model description
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 25",
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text-generation | transformers |
# TyphoonTime-passthrough
TyphoonTime-passthrough is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-7b)
* [chargoddard/storytime-13b](https://huggingface.co/chargoddard/storytime-13b)
## 🧩 Configuration
\```yaml
slice... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "scb10x/typhoon-7b", "chargoddard/storytime-13b"]} | Manichik/TyphoonTime-passthrough | null | [
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"llama",
"text-generation",
"merge",
"mergekit",
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"scb10x/typhoon-7b",
"chargoddard/storytime-13b",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T13:13:33+00:00 | [] | [] | TAGS
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|
# TyphoonTime-passthrough
TyphoonTime-passthrough is a merge of the following models using mergekit:
* scb10x/typhoon-7b
* chargoddard/storytime-13b
## Configuration
\ | [
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