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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/norygano/dolphin-mistral-TRACHI-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["norygano/TRACHI"], "base_model": "norygano/dolphin-mistral-TRACHI-7b", "quantized_by": "mradermacher"} | mradermacher/dolphin-mistral-TRACHI-7b-GGUF | null | [
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#transformers #gguf #en #dataset-norygano/TRACHI #base_model-norygano/dolphin-mistral-TRACHI-7b #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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": []} | zizoNa/t5-fine-tune-save-example | null | [
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|
# Model Card for Model ID
## Model Details
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text-classification | transformers |
# Model Card for bertin_base_climate_detection_spa_v2
README Spanish Version: [README_ES](https://huggingface.co/somosnlp/bertin_base_climate_detection_spa/blob/main/README_ES.md)
<p align="center">
<img src="https://huggingface.co/somosnlp/bertin_base_climate_detection_spa/resolve/main/model_image_repo_380.jpg"... | {"language": ["es"], "license": "cc-by-4.0", "tags": ["generated_from_trainer"], "datasets": ["somosnlp/spa_climate_detection"], "metrics": ["accuracy"], "base_model": "bertin-project/bertin-roberta-base-spanish", "widget": [{"text": "El uso excesivo de fertilizantes nitrogenados -un fen\u00f3meno frecuente en la agric... | somosnlp/bertin_base_climate_detection_spa | null | [
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| Model Card for bertin\_base\_climate\_detection\_spa\_v2
========================================================
README Spanish Version: README\_ES
This model is a fine-tuning version of the model: bertin-project/bertin-roberta-base-spanish using the dataset somosnlp/spa\_climate\_detection.
The ... | [
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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": []} | zizoNa/t5-fine-tune | null | [
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# Model Card for Model ID
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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 |
# 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": []} | sdansdk/pythia_70m_tokenizer | 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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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": []} | zizoNa/t5-fine | 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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image-classification | 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. -->
# phamhai/food_classifier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-ba... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "phamhai/food_classifier", "results": []}]} | phamhai/food_classifier | null | [
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| phamhai/food\_classifier
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.3912
* Validation Loss: 0.3288
* Train Accuracy: 0.924
* Epoch: 4
Model description
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 3e-05, 'decay\\_steps': 20000, 'end\\_learn... | [
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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. -->
# wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod12
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod12", "results": [{"task": {"type": "automatic-speech-recognition", "name"... | EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod12 | null | [
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| wav2vec2-xlsr-53-CV-demo-google-colab-Ezra\_William\_Prod12
===========================================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4926
* Wer: 0.4835
M... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/akrads/NousHermes-Borealis-SOLAR-10.7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they ... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "NousResearch/Nous-Hermes-2-SOLAR-10.7B", "Undi95/Borealis-10.7B-DPO"], "base_model": "akrads/NousHermes-Borealis-SOLAR-10.7B", "quantized_by": "mradermacher"} | mradermacher/NousHermes-Borealis-SOLAR-10.7B-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 |
<!-- 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. -->
# opt-journal-finetune
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an u... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "facebook/opt-125m", "model-index": [{"name": "opt-journal-finetune", "results": []}]} | zizoNa/opt-journal-finetune | null | [
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#peft #safetensors #generated_from_trainer #base_model-facebook/opt-125m #license-other #region-us
| opt-journal-finetune
====================
This model is a fine-tuned version of facebook/opt-125m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6144
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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. -->
# 0.001_idpo_noreplacerej_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_noreplacerej_iter_1", "results": []}]} | ShenaoZhang/0.001_idpo_noreplacerej_iter_1 | null | [
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|
# 0.001_idpo_noreplacerej_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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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. -->
# Textual inversion text2image fine-tuning - janetsw/bu
These are textual inversion adaption weights for stabilityai/stabl... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | janetsw/bu | null | [
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"diffusers:StableDiffusionPipeli... | null | 2024-04-07T16:57:49+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - janetsw/bu
These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent issu... | [
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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. -->
# OCI-DS-6.7B-schema-linking_1
This model is a fine-tuned version of [m-a-p/OpenCodeInterpreter-DS-6.7B](https://huggingface.co/m-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "m-a-p/OpenCodeInterpreter-DS-6.7B", "model-index": [{"name": "OCI-DS-6.7B-schema-linking_1", "results": []}]} | jdeklerk10/OCI-DS-6.7B-schema-linking_1 | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-m-a-p/OpenCodeInterpreter-DS-6.7B #license-apache-2.0 #region-us
| OCI-DS-6.7B-schema-linking\_1
=============================
This model is a fine-tuned version of m-a-p/OpenCodeInterpreter-DS-6.7B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7197
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\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 |
# 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": []} | SeungHeeKim/20000_4epoch_mistralai_Mistral-7B-Instruct-v0_2_LoRA | 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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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": []} | zizoNa/opt | null | [
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers | # LuMiNa
<Gallery />
## Model description
An model that generate text to image.
## Trigger words
You should use `text` to trigger the image generation.
You should use `image` to trigger the image generation.
You should use `text to image` to trigger the image generation.
You should use `dall e` to trigger the ... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "An cute robot", "output": {"url": "images/image (1).png"}}, {"text": "An beautiful sunset", "output": {"url": "images/image.png"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": ... | synthetica/lumina | null | [
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"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-07T17:07:42+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # LuMiNa
<Gallery />
## Model description
An model that generate text to image.
## Trigger words
You should use 'text' to trigger the image generation.
You should use 'image' to trigger the image generation.
You should use 'text to image' to trigger the image generation.
You should use 'dall e' to trigger the ... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | maldaer/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-07T17:09:37+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
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. -->
# openllama_3b_en_vi
This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-resear... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "openlm-research/open_llama_3b_v2", "model-index": [{"name": "openllama_3b_en_vi", "results": []}]} | mob2711/openllama_3b_en_vi | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:openlm-research/open_llama_3b_v2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T17:10:25+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-openlm-research/open_llama_3b_v2 #license-apache-2.0 #region-us
|
# openllama_3b_en_vi
This model is a fine-tuned version of openlm-research/open_llama_3b_v2 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 hy... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training ... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mbert-finetuned-sbersquad
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-multilingual-cased", "model-index": [{"name": "mbert-finetuned-sbersquad", "results": []}]} | imangali/mbert-finetuned-sbersquad | null | [
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"base_model:bert-base-multilingual-cased",
"license:apache-2.0",
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] | null | 2024-04-07T17:11:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-multilingual-cased #license-apache-2.0 #endpoints_compatible #region-us
|
# mbert-finetuned-sbersquad
This model is a fine-tuned version of bert-base-multilingual-cased 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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"## Training and evaluation data\n\nMore information needed",
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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. -->
# Gopal-custom-en-to-ru
This model is a fine-tuned version of [Bradpitt1234/Gopal-finetuned-custom-en-to-ru](https://huggingface.c... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "base_model": "Bradpitt1234/Gopal-finetuned-custom-en-to-ru", "model-index": [{"name": "Gopal-custom-en-to-ru", "results": []}]} | Gopal1853/Gopal-custom-en-to-ru | null | [
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"license:apache-2.0",
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|
# Gopal-custom-en-to-ru
This model is a fine-tuned version of Bradpitt1234/Gopal-finetuned-custom-en-to-ru on an unknown 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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null | transformers |
# Uploaded model
- **Developed by:** cackerman
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# opus-mt-en-fr-finetuned-en-to-fr
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-fr", "model-index": [{"name": "opus-mt-en-fr-finetuned-en-to-fr", "results": []}]} | sriram-sanjeev9s/opus-mt-en-fr-finetuned-en-to-fr | null | [
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| opus-mt-en-fr-finetuned-en-to-fr
================================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3017
* Bleu: 31.7868
* Gen Len: 29.5263
Model description
-----------------
More informatio... | [
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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": []} | zizoNa/opt123 | null | [
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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. -->
# Textual inversion text2image fine-tuning - janetsw/sc
These are textual inversion adaption weights for stabilityai/stabl... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | janetsw/sc | null | [
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# Textual inversion text2image fine-tuning - janetsw/sc
These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
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#### How to use
#### Limitations and bias
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
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mask-generation | transformers |
# Model Card for Model ID
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null | transformers |
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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": []} | lukewardford/Qwen1.5-7B-Chat-GPTQ-Int4 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | zizoNa/opt1234 | 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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null | null |
# JPEGlitch
JPEGlitch is a specialized neural network designed to detect glitches in JPEG images.
It combines the architectures of ResNet18 and SPPNet, providing the capability to process images of any size.
## Model Architecture
JPEGlitch is structured around an 18-layer Residual Network (ResNet) backbone, enhanced... | {"license": "mit", "datasets": ["imagenet-1k"]} | bobqianic/JPEGlitch | null | [
"dataset:imagenet-1k",
"license:mit",
"region:us"
] | null | 2024-04-07T17:23:54+00:00 | [] | [] | TAGS
#dataset-imagenet-1k #license-mit #region-us
|
# JPEGlitch
JPEGlitch is a specialized neural network designed to detect glitches in JPEG images.
It combines the architectures of ResNet18 and SPPNet, providing the capability to process images of any size.
## Model Architecture
JPEGlitch is structured around an 18-layer Residual Network (ResNet) backbone, enhanced... | [
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image-classification | timm | # Chart Recognizer
chart-recognizer is a finetuned model for classifying images. It uses efficientnet as its base model, making it a fast and small model.
This model is trained on my own dataset of financial charts posted on Twitter, which can be found here [StephanAkkerman/fintwit-charts](https://huggingface.co/datas... | {"language": ["en"], "license": "mit", "library_name": "timm", "tags": ["image-classification", "timm", "chart", "charts", "fintwit", "stocks", "crypto"], "datasets": ["StephanAkkerman/crypto-charts", "StephanAkkerman/stock-charts", "StephanAkkerman/fintwit-images"], "metrics": ["accuracy", "f1", "precision", "recall"]... | StephanAkkerman/chart-recognizer | null | [
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| # Chart Recognizer
chart-recognizer is a finetuned model for classifying images. It uses efficientnet as its base model, making it a fast and small model.
This model is trained on my own dataset of financial charts posted on Twitter, which can be found here StephanAkkerman/fintwit-charts.
## Intended Uses
chart-reco... | [
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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. -->
# t5_base_ft_uncleanedCombinedSub
This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-base", "model-index": [{"name": "t5_base_ft_uncleanedCombinedSub", "results": []}]} | lkh9908/t5_base_ft_uncleanedCombinedSub | null | [
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| t5\_base\_ft\_uncleanedCombinedSub
==================================
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0489
* Rouge1: 41.6679
* Rouge2: 16.0576
* Rougel: 30.2765
* Rougelsum: 38.4749
* Gen Len: 94.0705
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/migtissera/Tess-72B-v1.5b
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static quants are available at https://huggingface.co/mradermacher/Tess-72B-v1.5b-... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "migtissera/Tess-72B-v1.5b", "license_link": "https://huggingface.co/Qwen/Qwen-72B/blob/main/LICENSE", "license_name": "qwen-72b-licence", "quantized_by": "mradermacher"} | mradermacher/Tess-72B-v1.5b-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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(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. -->
# starcoder-1B-code2instruction
This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/st... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "bigcode/starcoderbase-1b", "model-index": [{"name": "starcoder-1B-code2instruction", "results": []}]} | Venkatesh4342/starcoder-1B-code2instruction | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-bigcode/starcoderbase-1b #license-bigcode-openrail-m #region-us
|
# starcoder-1B-code2instruction
This model is a fine-tuned version of bigcode/starcoderbase-1b on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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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. -->
# Textual inversion text2image fine-tuning - janetsw/le
These are textual inversion adaption weights for stabilityai/stabl... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | janetsw/le | null | [
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|
# Textual inversion text2image fine-tuning - janetsw/le
These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent issu... | [
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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": []} | meher146/gemma-doctor-chat-model | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# InLegalBERT-5-epochs-fine-tune
This model is a fine-tuned version of [law-ai/InLegalBERT](https://huggingface.co/law-ai/InLegalB... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "law-ai/InLegalBERT", "model-index": [{"name": "InLegalBERT-5-epochs-fine-tune", "results": []}]} | xshubhamx/InLegalBERT-5-epochs-fine-tune | null | [
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| InLegalBERT-5-epochs-fine-tune
==============================
This model is a fine-tuned version of law-ai/InLegalBERT on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8945
* Accuracy: 0.8335
Model description
-----------------
More information needed
Intended uses & l... | [
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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": []} | saransh03sharma/mintrec-llama-2-7b-150-5-shot | null | [
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# Model Card for Model ID
## Model Details
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text-to-image | diffusers | # lumina
<Gallery />
## Model description
An model that generate images by prompts.
## Trigger words
You should use `midjourney` to trigger the image generation.
You should use `stable diffusion` to trigger the image generation.
## Download model
[Download](/ARTURART/lumina/tree/main) them in the Files & ver... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "An steampunk cute robot. ", "output": {"url": "images/image (1).png"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "midjourney, stable diffusion"} | ARTURART/lumina | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-07T17:39:57+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # lumina
<Gallery />
## Model description
An model that generate images by prompts.
## Trigger words
You should use 'midjourney' to trigger the image generation.
You should use 'stable diffusion' to trigger the image generation.
## Download model
Download them in the Files & versions tab.
| [
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mask-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": []} | diliash/sam-2024-04-07-17-20-52 | null | [
"transformers",
"safetensors",
"sam",
"mask-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T17:40:27+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #sam #mask-generation #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. -->
# qaharoldv1
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "qaharoldv1", "results": []}]} | hr-wesbeaver/qaharoldv1 | null | [
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"t5",
"text2text-generation",
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T17:41:14+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| qaharoldv1
==========
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1674
* Rouge1: 0.9279
* Rouge2: 0.8593
* Rougel: 0.9205
* Gen Len: 70.0435
Model description
-----------------
More information needed
Intended uses & ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0004\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size: 12\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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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": []} | SOUMYADEEPSAR/convbert_subj | null | [
"transformers",
"safetensors",
"convbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T17:41:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #convbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# tmp_trainer
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "tmp_trainer", "results": []}]} | mayankkeshari/tmp_trainer | null | [
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|
# tmp_trainer
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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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... | zerozerozhu/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-07T17:44:49+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-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712511901892x909093380185552800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["THEUS/Spider_reilly"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712511901892x909093380185552800 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:THEUS/Spider_reilly",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-07T17:45:14+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Spider_reilly #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712511901892x909093380185552800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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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. -->
# 0.001_idpo_declr_4iters_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_declr_4iters_iter_1", "results": []}]} | ZhangShenao/0.001_idpo_declr_4iters_iter_1 | null | [
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"base_model:HuggingFaceH4/mistral-7b-sft-beta",
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"endpoints_co... | null | 2024-04-07T17:46:44+00:00 | [] | [] | TAGS
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|
# 0.001_idpo_declr_4iters_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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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": []} | codegood/Mistral_Instruct-bnb-4bit-new | null | [
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"4-bit",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | mjm765/slot_filling_on_data_7_april_QWEN | null | [
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"endpoints_compatible",
"text-generation-inference",
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#transformers #safetensors #qwen2 #text-generation #trl #sft #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Model type:
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text-classification | transformers |
# 🇧🇷 Caramelo Smile 🇧🇷
<img src="https://i.imgur.com/sKAe5ZP.png" width="20%"/>
# Modelo treinado com mais de +100M de parâmetros em Português do Brasil
# Classificação de Texto
<img src="https://i.imgur.com/WEnueLY.png"/>
A classificação de texto é a tarefa de atribuir um rótulo ou classe (classificar) a um... | {"language": ["pt", "en"], "license": "cc-by-4.0", "tags": ["autotrain", "text-classification"], "datasets": ["Adilmar/caramelo-emotions", "yelp_review_full"], "metrics": ["accuracy", "f1"], "widget": [{"text": "Amo um cafune"}, {"text": "Odeio motoqueiro"}, {"text": "Sou um pouco curioso"}]} | Adilmar/caramelo-smile | null | [
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|
# 🇧🇷 Caramelo Smile 🇧🇷
<img src="https://i.URL width="20%"/>
# Modelo treinado com mais de +100M de parâmetros em Português do Brasil
# Classificação de Texto
<img src="https://i.URL
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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. -->
# Textual inversion text2image fine-tuning - janetsw/ya
These are textual inversion adaption weights for stabilityai/stabl... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | janetsw/ya | null | [
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|
# Textual inversion text2image fine-tuning - janetsw/ya
These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent issu... | [
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mask-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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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 generate... | {"library_name": "transformers", "tags": []} | diliash/sam-2024-04-07-17-40-54 | null | [
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text-classification | transformers |
# Model Card for Model ID
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## Model Details
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null | transformers |
# Uploaded model
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[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | edumunozsala/adapter-gemma-7b-un-lr | null | [
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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. -->
# 0.001_idpo_declr_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/Hugging... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_declr_iter_1", "results": []}]} | ZhangShenao/0.001_idpo_declr_iter_1 | null | [
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|
# 0.001_idpo_declr_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
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More information needed
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More information needed
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mryannugent/FEWSHOT-finetuning-miscondetect-bloomz-3b | null | [
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text-classification | transformers |
# Model Card for Model ID
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text-to-speech | voicecraft |
This model has been pushed to the Hub using VoiceCraft:
- Library: https://github.com/jasonppy/VoiceCraft
- Docs: [More Information Needed] | {"library_name": "voicecraft", "tags": ["text-to-speech", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "https://github.com/jasonppy/VoiceCraft"} | nielsr/gigaHalfLibri330M_TTSEnhanced_max16s | null | [
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#voicecraft #safetensors #text-to-speech #pytorch_model_hub_mixin #model_hub_mixin #region-us
|
This model has been pushed to the Hub using VoiceCraft:
- Library: URL
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mask-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": []} | diliash/sam-2024-04-07-17-55-03 | null | [
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# Model Card for Model ID
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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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
<!-- 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. -->
# OCI-DS-6.7B-schema-linking_2
This model is a fine-tuned version of [m-a-p/OpenCodeInterpreter-DS-6.7B](https://huggingface.co/m-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "m-a-p/OpenCodeInterpreter-DS-6.7B", "model-index": [{"name": "OCI-DS-6.7B-schema-linking_2", "results": []}]} | jdeklerk10/OCI-DS-6.7B-schema-linking_2 | null | [
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| OCI-DS-6.7B-schema-linking\_2
=============================
This model is a fine-tuned version of m-a-p/OpenCodeInterpreter-DS-6.7B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8592
Model description
-----------------
More information needed
Intended uses & limitat... | [
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text-to-image | diffusers | # DeepFake
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/ompathak/DeepFake/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Real", "parameters": {"negative_prompt": "Fake"}, "output": {"url": "images/daniel-olah-HNkgPFBShSw-unsplash.jpg"}}], "base_model": "ByteDance/SDXL-Lightning"} | ompathak/DeepFake | null | [
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#diffusers #pytorch #safetensors #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #region-us
| # DeepFake
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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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. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | innovationaiml/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1365
* F1: 0.8646
Model description
-----------------
More information needed
Intended uses & l... | [
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feature-extraction | transformers |
# Model Title
Your model description and additional information go here.
### Nada_Model
Multilingual sentiment classification (Label_0: mixed, Label_1: negative, Label_2: positive) of Arabic reviews by fine-tuning XLM-Roberta-Large.
Zero shot classification of other languages (also works in mixed languages - ex. Ar... | {"language": ["ar", "en", "multilingual"], "license": "mit"} | Nada81/Nada_Model | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | ayilmaz/openchat3.5-medical-text-memorization | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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mask-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": []} | diliash/sam-2024-04-07-18-15-11 | null | [
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null | null | 
SnowieV3 Russian Pretrain!!
RuPretrain "Snowie" helps improve a model's Russian speech \ makes English-speaking models speak Russian and Japanese
Dataset size: 58 hrs
34 womens speech
24 males spee... | {} | MUSTAR/Snowie_V3.1_JP_hubert | null | [
"region:us"
] | null | 2024-04-07T18:29:05+00:00 | [] | [] | TAGS
#region-us
| !image/jpeg
SnowieV3 Russian Pretrain!!
RuPretrain "Snowie" helps improve a model's Russian speech \ makes English-speaking models speak Russian and Japanese
Dataset size: 58 hrs
34 womens speech
24 males speech
20 different voices
How to use:
1 Download G and D pth files from Huggins
2 Place it in the pretrained_v2... | [] | [
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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. -->
# marian-finetuned-kde4-en-to-es
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsink... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "datasets": ["kde4"], "base_model": "Helsinki-NLP/opus-mt-en-fr", "model-index": [{"name": "marian-finetuned-kde4-en-to-es", "results": []}]} | abh1na5/marian-finetuned-kde4-en-to-es | null | [
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|
# marian-finetuned-kde4-en-to-es
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset.
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- eval_runtime: 1731.4212
- eval_samples_per_second: 12.629
- eval_steps_per_second: 0.099
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-6B-channel-mix-bpw-2.2 | null | [
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"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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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. -->
# my_awesome_wnut_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbe... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wnut_17"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_wnut_model", "results": []}]} | mandasrinu/my_awesome_wnut_model | null | [
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|
# my_awesome_wnut_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the wnut_17 dataset.
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- eval_runtime: 3.0704
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text-to-image | diffusers | # DeepFakeDetection
<Gallery />
## Model description
---
license: apache-2.0
metrics:
- accuracy
- f1
---
Checks whether an image is real or fake (AI-generated).
See https://www.kaggle.com/code/dima806/deepfake-vs-real-faces-detection-vit for more details.
```
Classificatio... | {"license": "apache-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/wallpaper-supernova.jpg"}}], "base_model": "dima806/deepfake_vs_real_image_detection"} | ompathak/DeepFakeDetection | null | [
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| # DeepFakeDetection
<Gallery />
## Model description
---
license: apache-2.0
metrics:
- accuracy
- f1
---
Checks whether an image is real or fake (AI-generated).
See https://URL/code/dima806/deepfake-vs-real-faces-detection-vit for more details.
```
Classification report:
... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-6B-channel-mix-bpw-3.0 | null | [
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
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## Model Details
### Model Description
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/pq0fo3f | null | [
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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 - philipp-zettl/ssd-jon_juarez-lora
<Gallery />
## Model description
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|
# SDXL LoRA DreamBooth - philipp-zettl/ssd-jon_juarez-lora
<Gallery />
## 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
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text-generation | transformers |
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
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Please refer to our Github page for the code to run the model and more information.
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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
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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 generate... | {"library_name": "transformers", "tags": []} | saransh03sharma/mintrec-llama-2-13b-150-5-shot | 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": []} | saransh03sharma/mintrec-llama-2-13b-150-10-shot | null | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
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Please refer to our Github page for the code to run the model and more information.
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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": []} | eio24/DP_Czert_fine-tuned | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/louisbrulenaudet/Pearl-3x7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "dvilasuero/DistilabelBeagle14-7B", "beowolx/CodeNinja-1.0-OpenChat-7B", "WizardLM/WizardMath-7B-V1.1", "Maths", "Code", "Python"], "base_model": "louisbrulenaudet/Pearl-3x7B"... | mradermacher/Pearl-3x7B-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": []} | adjohn1313/blackbox-gpt-j-6B-pku-455-epochs | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
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text-generation | transformers | # output
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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "taozi555/waifu-7b-v02", "Locutusque/Hercules-4.0-Mistral-v0.2-7B", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | taozi555/waifu-7b-v02 | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the task arithmetic merge method using alpindale/Mistral-7B-v0.2-hf as a base.
### Models Merged
The following models were included in the merge:
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null | transformers |
# Uploaded model
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- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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# Uploaded model
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fill-mask | transformers | <div align="center">
<h1>Privacy Policies Language Understanding Evaluation -- PP-BERT</h1>
This repository contains code for downloading data and implementations of baseline systems for PLUE.
<p align="center">
<a href="#setup">Setup</a> •
<a href="#Usage">Usage</a> •
<a href="#license">License</a> •
<a hr... | {"license": "mit"} | arvyz/plue-ppbert | null | [
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| <div align="center">
<h1>Privacy Policies Language Understanding Evaluation -- PP-BERT</h1>
This repository contains code for downloading data and implementations of baseline systems for PLUE.
<p align="center">
<a href="#setup">Setup</a> •
<a href="#Usage">Usage</a> •
<a href="#license">License</a> •
<a hr... | [
"## Setup\n\nThis model is based on the PLUE effort cited below.",
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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text-generation | transformers |
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text-generation | peft |
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mask-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers |
# Model Card for Model ID
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text2text-generation | transformers |
# Model Card for Model ID
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Mistral-7B-v0.1-channel-mix-bpw-3.0 | null | [
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#transformers #safetensors #mistral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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