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null | null | # Model Card for *MineDreamer* 🔥
<!-- Briefly summarize what the model is/does. -->
[](https://arxiv.org/abs/2403.12037)
[](https:... | {"language": ["en", "zh"], "license": "apache-2.0", "datasets": ["Zhoues/Goal-Drift-Dataset"]} | Zhoues/MineDreamer-7B | null | [
"en",
"zh",
"dataset:Zhoues/Goal-Drift-Dataset",
"arxiv:2403.12037",
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T10:27:39+00:00 | [
"2403.12037"
] | [
"en",
"zh"
] | TAGS
#en #zh #dataset-Zhoues/Goal-Drift-Dataset #arxiv-2403.12037 #license-apache-2.0 #region-us
| # Model Card for *MineDreamer*
 and diffusion models!
<p align="center">
<img src="URL width=93%>
<p>
*MineDreamer* ... | [
"# Model Card for *MineDreamer* \n\n\n\n and diffusion models!\n\n\n\n<p align=\"center\">\n<img src=\"URL width=93%>\... | [
"TAGS\n#en #zh #dataset-Zhoues/Goal-Drift-Dataset #arxiv-2403.12037 #license-apache-2.0 #region-us \n",
"# Model Card for *MineDreamer* \n\n\n\n![arXiv](URL\n\n![project page](URL\n\n*MineDreamer* is an instructable embodied agent for simulated control and it is developed on top of recent advances in Multimodal L... | [
41,
211
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"TAGS\n#en #zh #dataset-Zhoues/Goal-Drift-Dataset #arxiv-2403.12037 #license-apache-2.0 #region-us \n# Model Card for *MineDreamer* \n\n\n\n![arXiv](URL\n\n![project page](URL\n\n*MineDreamer* is an instructable embodied agent for simulated control and it is developed on top of recent advances in Multimodal Large L... |
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": []} | 0x0son0/s_77 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T10:27:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | anand-s/mistral-biomedical-entity-extraction | null | [
"peft",
"safetensors",
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"region:us"
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"## Model Details",
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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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": []} | 0x0mom/s_15 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T10:30:45+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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zero-shot-classification | transformers |
# Model description: bge-m3-zeroshot-v2.0-c
## zeroshot-v2.0 series of models
Models in this series are designed for efficient zeroshot classification with the Hugging Face pipeline.
These models can do classification without training data and run on both GPUs and CPUs.
An overview of the latest zeroshot classifie... | {"language": ["multilingual"], "license": "mit", "library_name": "transformers", "tags": ["text-classification", "zero-shot-classification"], "base_model": "BAAI/bge-m3-retromae", "pipeline_tag": "zero-shot-classification"} | MoritzLaurer/bge-m3-zeroshot-v2.0-c | null | [
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"license:mit",
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"2312.17543"
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| Model description: bge-m3-zeroshot-v2.0-c
=========================================
zeroshot-v2.0 series of models
------------------------------
Models in this series are designed for efficient zeroshot classification with the Hugging Face pipeline.
These models can do classification without training data and run ... | [
"### Ideas for cooperation or questions?\n\n\nIf you have questions or ideas for cooperation, contact me at moritz{at}huggingface{dot}co or LinkedIn",
"### Flexible usage and \"prompting\"\n\n\nYou can formulate your own hypotheses by changing the 'hypothesis\\_template' of the zeroshot pipeline.\nSimilar to \"pr... | [
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"### Ideas for cooperation or questions?\n\n\nIf you have questions or ideas for 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": []} | nvinay1803/gemma2b-Code-Instruct-Finetune-test | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T10:30:58+00:00 | [
"1910.09700"
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#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers |
# Mistral-portuguese-luana-7b
<p align="center">
<img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/luana7b.webp" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
This model was trained with a superset of 200,000 instructions in Portuguese.
The model come... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Misral", "Portuguese", "7b"], "datasets": ["pablo-moreira/gpt4all-j-prompt-generations-pt", "rhaymison/superset"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "pipeline_tag": "text-generation", "model-index": [{"name": "Mist... | rhaymison/Mistral-portuguese-luana-7b | null | [
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"license:apache-2.0",
"model-index",
... | null | 2024-04-01T10:31:18+00:00 | [] | [
"pt"
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===========================
This model was trained with a superset of 200,000 instructions in Portuguese.
The model comes to help fill the gap in models in Portuguese. Tuned from the Mistral 7b, the model was adjusted mainly for instructional tasks.
How to use
=======... | [
"### FULL MODEL : A100",
"### HALF MODEL: L4",
"### 8bit or 4bit : T4 or V100\n\n\nYou can use the model in its normal form up to 4-bit quantization. Below we will use both approaches.\nRemember that verbs are important in your prompt. Tell your model how to act or behave so that you can guide them along the pa... | [
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null | transformers | ## About
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_5.0
<!-- provided-files -->
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 Communi... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "datasets": ["cognitivecomputations/dolphin", "Open-Orca/OpenOrca"], "base_model": "LeroyDyer/Mixtral_AI_Cyber_5.0", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_Cyber_5.0-GGUF | null | [
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"endpoints_compatible",
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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 | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | chakkakrishna/Finetunedsynthetic1B | null | [
"peft",
"safetensors",
"falcon",
"region:us"
] | null | 2024-04-01T10:32:05+00:00 | [] | [] | TAGS
#peft #safetensors #falcon #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_4bit_quant_type: nf4\n- b... | [
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text-to-image | diffusers |
# What is different about this fork from the original (h1t/oms_b_openclip_xl)?
The code has been modified to work with the current final version (0.27.2) of diffusers.
The behavior remains the same. Enjoy.
<img src="kaeru-dev.png" width="600"/>
```diff
- OMSPipeline.from_pretrained('h1t/oms_b_openclip_xl', ...)
+... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "inference": false} | kaeru-shigure/oms_b_openclip_xl | null | [
"diffusers",
"text-to-image",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"diffusers:OMSPipeline",
"region:us"
] | null | 2024-04-01T10:34:15+00:00 | [] | [] | TAGS
#diffusers #text-to-image #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #diffusers-OMSPipeline #region-us
|
# What is different about this fork from the original (h1t/oms_b_openclip_xl)?
The code has been modified to work with the current final version (0.27.2) of diffusers.
The behavior remains the same. Enjoy.
<img src="URL" width="600"/>
-----
# One More Step
One More Step (OMS) module was proposed in One Mo... | [
"# What is different about this fork from the original (h1t/oms_b_openclip_xl)?\n\nThe code has been modified to work with the current final version (0.27.2) of diffusers. \nThe behavior remains the same. Enjoy.\n\n<img src=\"URL\" width=\"600\"/>\n\n\n\n\n\n\n\n-----",
"# One More Step\n\nOne More Step (OMS) mo... | [
"TAGS\n#diffusers #text-to-image #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #diffusers-OMSPipeline #region-us \n",
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text2text-generation | 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. -->
# serhii-korobchenko/Helsinki-Shevchenko-2024-04-01-10-35-04
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-uk](https://... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "Helsinki-NLP/opus-mt-ru-uk", "model-index": [{"name": "serhii-korobchenko/Helsinki-Shevchenko-2024-04-01-10-35-04", "results": []}]} | serhii-korobchenko/Helsinki-Shevchenko-2024-04-01-10-35-04 | null | [
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"marian",
"text2text-generation",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T10:35:29+00:00 | [] | [] | TAGS
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| serhii-korobchenko/Helsinki-Shevchenko-2024-04-01-10-35-04
==========================================================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ru-uk on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.7141
* Validation Loss: 1.1762
* Epoc... | [
"### 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': 5.6e-06, 'decay\\_steps': 38835, 'end\\_lea... | [
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text2text-generation | 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. -->
# Akhil9514/Fine_Tune_T5_Model_Review_Summarization
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "t5-small", "model-index": [{"name": "Akhil9514/Fine_Tune_T5_Model_Review_Summarization", "results": []}]} | Akhil9514/Fine_Tune_T5_Model_Review_Summarization | null | [
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"text2text-generation",
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T10:35:34+00:00 | [] | [] | TAGS
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| Akhil9514/Fine\_Tune\_T5\_Model\_Review\_Summarization
======================================================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.7922
* Validation Loss: 1.2639
* Train Lr: 2e-05
* Epoch: 0
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
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text-to-image | diffusers |
# Custom Diffusion - SidXXD/test4crossattentionmap-mist-0
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
For... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "custom-diffusion"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "photo of a <new1> dog", "inference": true} | SidXXD/test4crossattentionmap-mist-0 | null | [
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"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-01T10:36:40+00:00 | [] | [] | TAGS
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|
# Custom Diffusion - SidXXD/test4crossattentionmap-mist-0
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using Custom Diffusion. You can find some example images in the following.
For more details on the training, please follow... | [
"# Custom Diffusion - SidXXD/test4crossattentionmap-mist-0\n\nThese are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using Custom Diffusion. You can find some example images in the following. \n\n\n\n\nFor more details on the training, please... | [
"TAGS\n#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #custom-diffusion #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #region-us \n",
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text-generation | transformers |
# Model Card for EnDe-chat-0.0.4
Preliminary LoRA finetune of Mistral-7B for German and English quality text.
This is an experiment to improve the German capabilities of Mistral with
continued finetuning. The finetuning also includes English data, in order to
retain the English capabilities, to allow the model to b... | {"language": ["en", "de"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["FreedomIntelligence/sharegpt-deutsch", "mayflowergmbh/oasst_de", "mayflowergmbh/dolly_15k_de", "mayflowergmbh/openschnabeltier_de", "mayflowergmbh/ultrachat_de", "WizardLM/WizardLM_evol_instruct_V2_196k", "mayflowergmbh/ev... | kno10/ende-chat-0.0.4 | null | [
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"conversational",
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"dataset:FreedomIntelligence/sharegpt-deutsch",
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"dataset:mayflowergmbh/dolly_15k_de",
"dataset:mayflowergmbh/openschnabeltier_de",
"dataset:mayflowergmbh/ultrachat_de",
... | null | 2024-04-01T10:37:32+00:00 | [] | [
"en",
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==============================
Preliminary LoRA finetune of Mistral-7B for German and English quality text.
This is an experiment to improve the German capabilities of Mistral with
continued finetuning. The finetuning also includes English data, in order to
retain the English capabili... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #en #de #dataset-FreedomIntelligence/sharegpt-deutsch #dataset-mayflowergmbh/oasst_de #dataset-mayflowergmbh/dolly_15k_de #dataset-mayflowergmbh/openschnabeltier_de #dataset-mayflowergmbh/ultrachat_de #dataset-WizardLM/WizardLM_evol_instruc... | [
195
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text-classification | transformers |
## Model Description
This model is a `distilbert-base-uncased` fine-tuned for sentiment analysis on the IMDb movie review dataset. The model is trained to classify movie reviews into positive or negative sentiment.
## Intended Use
The model is intended for sentiment analysis tasks, specifically to classify the sentim... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["sentiment-analysis", "movie-analysis", "sentiment", "distilbert", "movie-reviews"], "datasets": ["stanfordnlp/imdb"], "metrics": ["accuracy"]} | sarahai/movie-sentiment-analysis | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"sentiment-analysis",
"movie-analysis",
"sentiment",
"movie-reviews",
"en",
"dataset:stanfordnlp/imdb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T10:38:52+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #distilbert #text-classification #sentiment-analysis #movie-analysis #sentiment #movie-reviews #en #dataset-stanfordnlp/imdb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
## Model Description
This model is a 'distilbert-base-uncased' fine-tuned for sentiment analysis on the IMDb movie review dataset. The model is trained to classify movie reviews into positive or negative sentiment.
## Intended Use
The model is intended for sentiment analysis tasks, specifically to classify the sentim... | [
"## Model Description\nThis model is a 'distilbert-base-uncased' fine-tuned for sentiment analysis on the IMDb movie review dataset. The model is trained to classify movie reviews into positive or negative sentiment.",
"## Intended Use\nThe model is intended for sentiment analysis tasks, specifically to classify ... | [
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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": []} | guptasaurabh78/codegen-350M-sgg | null | [
"transformers",
"safetensors",
"codegen",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T10:39:45+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #codegen #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | null |
# LoRA model of yui_shousetsu/由井正雪/由井正雪 (Fate/Grand Order)
## What Is This?
This is the LoRA model of waifu yui_shousetsu/由井正雪/由井正雪 (Fate/Grand Order).
## How Is It Trained?
* This model is trained with [kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts), and the test images are generated with [a1111's w... | {"license": "mit", "tags": ["art", "not-for-all-audiences"], "datasets": ["CyberHarem/yui_shousetsu_fgo"], "pipeline_tag": "text-to-image"} | CyberHarem/yui_shousetsu_fgo | null | [
"art",
"not-for-all-audiences",
"text-to-image",
"dataset:CyberHarem/yui_shousetsu_fgo",
"license:mit",
"region:us"
] | null | 2024-04-01T10:40:02+00:00 | [] | [] | TAGS
#art #not-for-all-audiences #text-to-image #dataset-CyberHarem/yui_shousetsu_fgo #license-mit #region-us
| LoRA model of yui\_shousetsu/由井正雪/由井正雪 (Fate/Grand Order)
=========================================================
What Is This?
-------------
This is the LoRA model of waifu yui\_shousetsu/由井正雪/由井正雪 (Fate/Grand Order).
How Is It Trained?
------------------
* This model is trained with kohya-ss/sd-scripts, and... | [] | [
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"TAGS\n#art #not-for-all-audiences #text-to-image #dataset-CyberHarem/yui_shousetsu_fgo #license-mit #region-us \n"
] |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | codescv123/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T10:43:15+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
text-generation | transformers |
<br/><br/>
8bpw/h8 exl2 quantization of [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B) using default exllamav2 calibration dataset.
---
**ORIGINAL CARD:**
This is an experimental model I currently use. It's far from great as I'm still wo... | {"language": ["en"], "license": "apache-2.0", "tags": ["safetensors", "mistral", "not-for-all-audiences", "nsfw", "rp", "roleplay"], "pipeline_tag": "text-generation"} | JayhC/InfinityRP-v1-7B-8bpw-h8-exl2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"not-for-all-audiences",
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"rp",
"roleplay",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T10:44:02+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #not-for-all-audiences #nsfw #rp #roleplay #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<br/><br/>
8bpw/h8 exl2 quantization of Endevor/InfinityRP-v1-7B using default exllamav2 calibration dataset.
---
ORIGINAL CARD:
!example
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here for people to try if interested in this format.
This model wa... | [
"### Style details:\n- Quotes are used for character dialogs.\n - '\"Hey, Anon... What do you think about my style?\"'\n- Asterisks can be used for narration, but it's optional, it's recommended to use default novel format.\n - '*Her cheeks blush slightly, she tries to hide.*'\n- Character thoughts are wrapped wi... | [
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text-to-image | diffusers |
# DreamBooth - SidXXD/test4crossattentionmap-mist-whole
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/).
You can find some example images in the following.
DreamBooth for the text encoder wa... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "dreambooth"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "a photo of sks dog", "inference": true} | SidXXD/test4crossattentionmap-mist-whole | null | [
"diffusers",
"tensorboard",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
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"base_model:CompVis/stable-diffusion-v1-4",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-01T10:44:56+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #dreambooth #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# DreamBooth - SidXXD/test4crossattentionmap-mist-whole
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
| [
"# DreamBooth - SidXXD/test4crossattentionmap-mist-whole\n\nThis is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth.\nYou can find some example images in the following. \n\n\n\nDreamBooth for the text encoder was enabled: False."
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama2_finetuned_chatbot
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llam... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "llama2_finetuned_chatbot", "results": []}]} | rahulrajrr/llama2_finetuned_chatbot | null | [
"tensorboard",
"generated_from_trainer",
"region:us"
] | null | 2024-04-01T10:45:41+00:00 | [] | [] | TAGS
#tensorboard #generated_from_trainer #region-us
|
# llama2_finetuned_chatbot
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf 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 hype... | [
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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": []} | eunyounglee/yi-6b-200k-gptq-ft-1 | 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.
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- Shared by [optional]:
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null | transformers | ## About
static quants of https://huggingface.co/ezelikman/quietstar-8-ahead
<!-- provided-files -->
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 ... | {"language": ["en"], "library_name": "transformers", "datasets": ["open-web-math/open-web-math"], "base_model": "ezelikman/quietstar-8-ahead", "quantized_by": "mradermacher"} | mradermacher/quietstar-8-ahead-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 |
<!-- 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. -->
# gpt-neo-125m-cs-finetuning-70000-3
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-70000-3", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-70000-3 | null | [
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"license:mit",
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"region:us"
] | null | 2024-04-01T10:51:24+00:00 | [] | [] | TAGS
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| gpt-neo-125m-cs-finetuning-70000-3
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2050
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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": []} | gsstein/model-75-baseline-llama | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"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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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart_recommendation_sports_equipment_english
This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/pegasus-xsum", "model-index": [{"name": "bart_recommendation_sports_equipment_english", "results": []}]} | subhamiiita/bart_recommendation_sports_equipment_english | null | [
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"base_model:google/pegasus-xsum",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-01T10:53:12+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #pegasus #text2text-generation #generated_from_trainer #base_model-google/pegasus-xsum #autotrain_compatible #endpoints_compatible #region-us
| bart\_recommendation\_sports\_equipment\_english
================================================
This model is a fine-tuned version of google/pegasus-xsum on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.9511
* Rouge1: 29.2063
* Rouge2: 9.5238
* Rougel: 28.8889
* Rougelsum: 2... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# beit-base-patch16-224-pt22k-finetuned-eurosat
This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k](http... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "beit-base-patch16-224-pt22k-finetuned-eurosat", "results": []}]} | SJChaudhuri/beit-base-patch16-224-pt22k-finetuned-eurosat | null | [
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| beit-base-patch16-224-pt22k-finetuned-eurosat
=============================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9338
* Accuracy: 0.6667
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# falcon-finetune-clinical-plan
This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vilsonrodrigues/falcon-7b-instruct-sharded", "model-index": [{"name": "falcon-finetune-clinical-plan", "results": []}]} | julycodes/falcon-finetune-clinical-plan | null | [
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"sft",
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-vilsonrodrigues/falcon-7b-instruct-sharded #license-apache-2.0 #region-us
|
# falcon-finetune-clinical-plan
This model is a fine-tuned version of vilsonrodrigues/falcon-7b-instruct-sharded on the None 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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null | null |
Mediastinal anatomy model trained on human CT using the TotalSegmentatorV2. | {"license": "apache-2.0"} | MONAI/mediastinal-anatomy-v2.0.0 | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T11:01:24+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Mediastinal anatomy model trained on human CT using the TotalSegmentatorV2. | [] | [
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text-to-image | diffusers | ### Movie Poster db on Stable Diffusion via Dreambooth
#### model by dhanyabahadur
This your the Stable Diffusion model fine-tuned the Movie Poster db concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **<movie-poster> movie poster**
You can also train your own conce... | {"license": "creativeml-openrail-m", "tags": ["text-to-image"]} | dhanyabahadur/movie-poster-db | null | [
"diffusers",
"safetensors",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-01T11:01:54+00:00 | [] | [] | TAGS
#diffusers #safetensors #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### Movie Poster db on Stable Diffusion via Dreambooth
#### model by dhanyabahadur
This your the Stable Diffusion model fine-tuned the Movie Poster db concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the 'instance_prompt': <movie-poster> movie poster
You can also train your own concepts ... | [
"### Movie Poster db on Stable Diffusion via Dreambooth",
"#### model by dhanyabahadur\nThis your the Stable Diffusion model fine-tuned the Movie Poster db concept taught to Stable Diffusion with Dreambooth.\nIt can be used by modifying the 'instance_prompt': <movie-poster> movie poster\n\nYou can also train your... | [
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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... | fonticode/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T11:02:09+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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] |
null | 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. -->
# zephyr-NewModel
This model is a fine-tuned version of [stabilityai/stablelm-zephyr-3b](https://huggingface.co/stabilityai/stable... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "stabilityai/stablelm-zephyr-3b", "model-index": [{"name": "zephyr-NewModel", "results": []}]} | Spophale/zephyr-NewModel | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:stabilityai/stablelm-zephyr-3b",
"license:other",
"region:us"
] | null | 2024-04-01T11:04:39+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-stabilityai/stablelm-zephyr-3b #license-other #region-us
|
# zephyr-NewModel
This model is a fine-tuned version of stabilityai/stablelm-zephyr-3b 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 hyperpara... | [
"# zephyr-NewModel\n\nThis model is a fine-tuned version of stabilityai/stablelm-zephyr-3b on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedu... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | ADG-2353/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T11:09:25+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
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text-generation | transformers | # [MaziyarPanahi/Inex12Yamshadow-7B-GGUF](https://huggingface.co/MaziyarPanahi/Inex12Yamshadow-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Inex12Yamshadow-7B](https://huggingface.co/automerger/Inex12Yamshadow-7B)
## Description
[MaziyarPanahi/Inex12Yamshadow-... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:MSL7/INEX12-7b", "base_model:automerger/YamShadow-7B", "license:apache-2.0", "autotrain_compatible", "endpoints... | MaziyarPanahi/Inex12Yamshadow-7B-GGUF | null | [
"transformers",
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"lazymergekit",
"automerger",
"base_model:MSL7/INEX12-7b",
"base_model:automerger/YamShadow-7B",
"license:apache-... | null | 2024-04-01T11:13:14+00:00 | [] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-MSL7/INEX12-7b #base_model-automerger/YamShadow-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference ... | # MaziyarPanahi/Inex12Yamshadow-7B-GGUF
- Model creator: automerger
- Original model: automerger/Inex12Yamshadow-7B
## Description
MaziyarPanahi/Inex12Yamshadow-7B-GGUF contains GGUF format model files for automerger/Inex12Yamshadow-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GG... | [
"# MaziyarPanahi/Inex12Yamshadow-7B-GGUF\n- Model creator: automerger\n- Original model: automerger/Inex12Yamshadow-7B",
"## Description\nMaziyarPanahi/Inex12Yamshadow-7B-GGUF contains GGUF format model files for automerger/Inex12Yamshadow-7B.",
"## How to use\nThanks to TheBloke for preparing an amazing README... | [
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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. -->
# distilbert-mlm-practice
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-u... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-mlm-practice", "results": []}]} | drchandra-code/distilbert-mlm-practice | null | [
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"safetensors",
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"fill-mask",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T11:15:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #fill-mask #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-mlm-practice
=======================
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: 2.4047
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0\n* mixed\\_prec... | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ", "model-index": [{"name": "output_solor/exp_16", "results": []}]} | al9sr31/KoSOLAR-10.7B-test-v0.2 | null | [
"peft",
"safetensors",
"llama",
"generated_from_trainer",
"base_model:TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ",
"license:apache-2.0",
"4-bit",
"region:us"
] | null | 2024-04-01T11:15:33+00:00 | [] | [] | TAGS
#peft #safetensors #llama #generated_from_trainer #base_model-TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ #license-apache-2.0 #4-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
output\_solor/exp\_16
=====================
This model is a fine-tuned version of TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GPTQ on the None dataset.
It achieves the following results on the evalua... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam wi... | [
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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. -->
# gpt-neo-125m-cs-finetuning-80000-1
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-80000-1", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-80000-1 | null | [
"transformers",
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"gpt_neo",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/gpt-neo-125m",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T11:16:06+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-125m #license-mit #autotrain_compatible #endpoints_compatible #region-us
| gpt-neo-125m-cs-finetuning-80000-1
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1928
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711970194969x783900486587989000
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:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Shortyzzzz/TotalDrm"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711970194969x783900486587989000 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:Shortyzzzz/TotalDrm",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T11:17:01+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Shortyzzzz/TotalDrm #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711970194969x783900486587989000
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... | [
"# LoRA DreamBooth - squaadinc/1711970194969x783900486587989000\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
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"# LoRA DreamBooth - squaadinc/1711970194969x783900486587989000\nThese are LoRA adaption weights for stabilityai/stable-diffu... | [
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"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Shortyzzzz/TotalDrm #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n# LoRA DreamBooth - squaadinc/1711970194969x783900486587989000\nThese are LoRA adaption weights for stabilityai/stable-diffusion-x... |
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-7b-50epochs-LoRA-LaMini
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sharded](https://huggingfac... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-50epochs-LoRA-LaMini", "results": []}]} | hanifsyarubany10/mistral-7b-50epochs-LoRA-LaMini-1e-3 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:ybelkada/Mistral-7B-v0.1-bf16-sharded",
"region:us"
] | null | 2024-04-01T11:21:11+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-ybelkada/Mistral-7B-v0.1-bf16-sharded #region-us
|
# mistral-7b-50epochs-LoRA-LaMini
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# mistral-7b-50epochs-LoRA-LaMini\n\nThis model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
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"# mistral-7b-50epochs-LoRA-LaMini\n\nThis model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.",
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text-generation | transformers |
# Uploaded model
- **Developed by:** taoki
- **License:** apache-2.0
- **Finetuned from model :** tokyotech-llm/Swallow-MS-7b-v0.1
# Usage
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained(
"taoki/Swallow-MS-7b-v0.1-qlora-oasst1-jmul... | {"language": ["ja"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "trl", "mistral"], "datasets": ["sakusakumura/databricks-dolly-15k-ja-scored", "llm-jp/oasst1-21k-ja", "nu-dialogue/jmultiwoz", "kunishou/amenokaku-code-instruct"], "license_name": "mistral", "base_model": "to... | taoki/Swallow-MS-7b-v0.1-qlora-oasst1-jmultiwoz-dolly-amenokaku | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"ja",
"dataset:sakusakumura/databricks-dolly-15k-ja-scored",
"dataset:llm-jp/oasst1-21k-ja",
"dataset:nu-dialogue/jmultiwoz",
"dataset:kunishou/amenokaku-code-instruct",
"base_model:to... | null | 2024-04-01T11:24:51+00:00 | [] | [
"ja"
] | TAGS
#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #ja #dataset-sakusakumura/databricks-dolly-15k-ja-scored #dataset-llm-jp/oasst1-21k-ja #dataset-nu-dialogue/jmultiwoz #dataset-kunishou/amenokaku-code-instruct #base_model-tokyotech-llm/Swallow-MS-7b-v0.1 #license-apache-... |
# Uploaded model
- Developed by: taoki
- License: apache-2.0
- Finetuned from model : tokyotech-llm/Swallow-MS-7b-v0.1
# Usage
# Output
'
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
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text-generation | transformers |
This repository hosts exl2 quantization for [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B).
**Original model information:**
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["exl2", "quantized", "roleplay", "4.0bpw", "mistral", "merge", "nsfw"], "inference": false, "base_model": ["ResplendentAI/Datura_7B", "ChaoticNeutrals/Eris_Floramix_DPO_7B"]} | TheVisitorX/InfinityRP-v1-7B-4.0bpw-exl2 | null | [
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|
This repository hosts exl2 quantization for Endevor/InfinityRP-v1-7B.
Original model information:
!waifu/jpeg
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here for people to try if interested in this format.
This model was basically made to stop some ... | [
"### Style details:\n- Quotes are used for character dialogs.\n - '\"Hey, Anon... What do you think about my style?\"'\n- Asterisks can be used for narration, but it's optional, it's recommended to use default novel format.\n - '*Her cheeks blush slightly, she tries to hide.*'\n- Character thoughts are wrapped wi... | [
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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": "alpindale/Mistral-7B-v0.2-hf"} | JorgeDeC/mistral-nl-7b-sft-qlora | null | [
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-alpindale/Mistral-7B-v0.2-hf #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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image-to-image | null |
# HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
<a href="https://arxiv.org/abs/2404.01094"><img src="https://img.shields.io/badge/arXiv-2404.01094-b31b1b.svg" height=22.5></a>
<a href="https://colab.research.google.com/#fileId=https://huggingface.co/AIRI-Institute/HairFastGAN/blob... | {"license": "mit", "pipeline_tag": "image-to-image"} | AIRI-Institute/HairFastGAN | null | [
"image-to-image",
"arxiv:2404.01094",
"license:mit",
"has_space",
"region:us"
] | null | 2024-04-01T11:27:32+00:00 | [
"2404.01094"
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#image-to-image #arxiv-2404.01094 #license-mit #has_space #region-us
|
# HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
<a href="URL src="URL height=22.5></a>
<a href="URL/URL src="URL height=22.5></a>
<a href="URL src="URL height=22.5></a>
> Our paper addresses the complex task of transferring a hairstyle from a reference image to an input photo fo... | [
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'train'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lun... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | lisagrace/Lunar-v2-PPO | null | [
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"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
null | 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": []} | kenchiayy/wav2vec2-charbpe-large-960h-lv60-atcosim_corpus-google-colab | null | [
"transformers",
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"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | michidoma/bert-politics-sa | null | [
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"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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. -->
# dental_classification_model_010424_2
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "dental_classification_model_010424_2", "results": []}]} | vishnu027/dental_classification_model_010424_2 | null | [
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| dental\_classification\_model\_010424\_2
========================================
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:
* Loss: 0.5837
* Accuracy: 0.8142
Model description
-----------------
More inf... | [
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null | pruna-engine | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"library_name": "pruna-engine", "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"... | PrunaAI/dolphin-2.8-mistral-7b-v02-bnb-4bit | null | [
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![Twitter](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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": []} | sazirarrwth99/mistralmorethanthreepochs | null | [
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"text-generation-inference",
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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]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | pruna-engine | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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image-segmentation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-v1-breastcancer
This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-cityscapes-1024-1024](https://hug... | {"license": "cc", "tags": ["generated_from_trainer", "medical", "computer-vision", "image-segmentation", "breast-cancer"], "datasets": ["as-cle-bert/breastcancer-semantic-segmentation"], "base_model": "nvidia/segformer-b0-finetuned-cityscapes-1024-1024", "pipeline_tag": "image-segmentation", "model-index": [{"name": "s... | as-cle-bert/segformer-v1-breastcancer | null | [
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| segformer-v1-breastcancer
=========================
This model is a fine-tuned version of nvidia/segformer-b0-finetuned-cityscapes-1024-1024 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2084
* Mean Iou: 0.6074
* Mean Accuracy: 0.7133
* Overall Accuracy: 0.6718
* Per Cate... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 50",
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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. -->
# phi-1_5-finetuned-gsm8k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on t... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-gsm8k", "results": []}]} | mohits01/phi-1_5-finetuned-gsm8k | null | [
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|
# phi-1_5-finetuned-gsm8k
This model is a fine-tuned version of microsoft/phi-1_5 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 hyperparameter... | [
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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. -->
# xlm-roberta-chatbot-stress
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "xlm-roberta-chatbot-stress", "results": []}]} | reecursion/xlm-roberta-chatbot-stress | null | [
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| xlm-roberta-chatbot-stress
==========================
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9432
* Accuracy: 0.8157
Model description
-----------------
More information needed
Intended uses & li... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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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. -->
# finetuning-sentiment-model-roberta-all-more-epochs
This model is a fine-tuned version of [roberta-base](https://huggingface.co/r... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "finetuning-sentiment-model-roberta-all-more-epochs", "results": []}]} | AndreiUrsu/finetuning-sentiment-model-roberta-all-more-epochs | null | [
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|
# finetuning-sentiment-model-roberta-all-more-epochs
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2253
- Accuracy: 0.9612
- F1: 0.9616
## Model description
More information needed
## Intended uses & limitations
More ... | [
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null | null | GGUFs for Merged Vicuna RP Stew V2 34B - https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt
Files >50gb have been split with peazip. Recombine with peazip, 7zip, or simple concatenate command. | {"license": "other", "tags": ["merge", "roleplay", "not-for-all-audiences"], "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | MarsupialAI/Merged-RP-Stew-V2-34B_iMatrix_GGUF | null | [
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| GGUFs for Merged Vicuna RP Stew V2 34B - URL
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt
Files >50gb have been split with peazip. Recombine with peazip, 7zip, or simple concatenate command. | [] | [
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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": "NousResearch/Llama-2-7b-chat-hf"} | jester20/llama-2-7b-ia3-platypus | null | [
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### Model Description
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### Model Sources [optional]
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text-generation | transformers | # [MaziyarPanahi/Experiment28Strangemerges_32-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment28Strangemerges_32-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment28Strangemerges_32-7B](https://huggingface.co/automerger/Experiment28Strangemerges_32... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment28-7B", "base_model:Gille/StrangeMerges_32-7B-slerp", "license:apache-2.0", "autotrain_comp... | MaziyarPanahi/Experiment28Strangemerges_32-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment28Strangemerges_32-7B
## Description
MaziyarPanahi/Experiment28Strangemerges_32-7B-GGUF contains GGUF format model files for automerger/Experiment28Strangemerges_32-7B.
## How to use
Thanks to TheBl... | [
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text-generation | transformers |
This model is a part of two model series, AryaBhatta-1 and AryaBhatta-2 and is finetuned from HuggingFaceH4/zephyr-7b-gemma-v0.1 or Google/gemma and is finetuned on 9 Indian languages (Hindi, Tamil, Punjabi, Bengali, Gujarati, Oriya, Telugu, Kannada, Malayalam) plus English.
There are two models. One finetuned on Go... | {"license": "mit"} | GenVRadmin/AryaBhatta-GemmaOrca-Merged | null | [
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null | transformers | ## About
static quants of https://huggingface.co/allknowingroger/ANIMA-biodesign-7B-slerp
<!-- provided-files -->
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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "MaziyarPanahi/ANIMA-Phi-Neptune-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp", "Severian/ANIMA-Neural-Hermes"], "base_model": "allknowingroger/ANIMA-biodesign-7B-slerp", "quantized_by": "mradermache... | mradermacher/ANIMA-biodesign-7B-slerp-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": []} | yuiseki/YuisekinAI-mistral-1.1B | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Uploaded model
- **Developed by:** maghrane
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | maghrane/mistralfinetunedOCR | null | [
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# Uploaded model
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null | trl |
# Weni/WeniGPT-QA-Mixstral-7B-5.0.1-KTO
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1] on the dataset Weni/WeniGPT-QA-Binarized-1.2.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: WeniGPT Experiment using KTO trainer with no collator, ... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "mistralai/Mixtral-8x7B-Instruct-v0.1", "model-index": [{"name": "Weni/WeniGPT-QA-Zephyr-7B-5.0.1-KTO", "results": []}]} | Weni/WeniGPT-QA-Mixtral-7B-5.0.1-KTO | null | [
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# Weni/WeniGPT-QA-Mixstral-7B-5.0.1-KTO
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1] on the dataset Weni/WeniGPT-QA-Binarized-1.2.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
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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 - arkocharyan/aram-trained-xl-v1
<Gallery />
## Model description
These are arkocharyan/aram-tra... | {"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 man", "wi... | arkocharyan/aram-trained-xl-v1 | null | [
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# SDXL LoRA DreamBooth - arkocharyan/aram-trained-xl-v1
<Gallery />
## Model description
These are arkocharyan/aram-trained-xl-v1 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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": []} | Pplus/mistral-health-text-generation | 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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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v1
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v1 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`huggy_dor... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a TOK emoji dressed as an easter bunny", ... | linoyts/huggy_dora_edm_v1 | null | [
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|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v1
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v1 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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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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. -->
# w2v2-base-pretrained_lr5e-5_at0.8_da0.1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/fa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.8_da0.1", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.8_da0.1 | null | [
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| w2v2-base-pretrained\_lr5e-5\_at0.8\_da0.1
==========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.7430
* Wer: 0.8847
Model description
-----------------
More information neede... | [
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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. -->
# w2v2-base-pretrained_lr5e-5_at0.8_da0.3
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/fa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.8_da0.3", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.8_da0.3 | null | [
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| w2v2-base-pretrained\_lr5e-5\_at0.8\_da0.3
==========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 5.8781
* Wer: 0.7877
Model description
-----------------
More information neede... | [
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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. -->
# w2v2-base-pretrained_lr5e-5_at0.8_da0.5
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/fa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.8_da0.5", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.8_da0.5 | null | [
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| w2v2-base-pretrained\_lr5e-5\_at0.8\_da0.5
==========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3736
* Wer: 0.1858
Model description
-----------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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null | transformers | ## About
static quants of https://huggingface.co/Severian/ANIMA-Neural-Hermes
<!-- provided-files -->
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... | {"language": ["en"], "license": "mit", "library_name": "transformers", "base_model": "Severian/ANIMA-Neural-Hermes", "quantized_by": "mradermacher"} | mradermacher/ANIMA-Neural-Hermes-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 |
<!-- 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. -->
# BitLlama2-jp-127M-optim-0
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves t... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BitLlama2-jp-127M-optim-0", "results": []}]} | HachiML/BitLlama2-jp-127M-optim-0 | null | [
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| BitLlama2-jp-127M-optim-0
=========================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4063
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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. -->
# w2v2-base-pretrained_lr5e-5_at0.8_da0.7
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/fa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "w2v2-base-pretrained_lr5e-5_at0.8_da0.7", "results": []}]} | MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.8_da0.7 | null | [
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"license:apache-2.0",
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#transformers #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| w2v2-base-pretrained\_lr5e-5\_at0.8\_da0.7
==========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2042
* Wer: 0.1884
Model description
-----------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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fill-mask | 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. -->
# pippinnie/distilroberta-base-finetuned-cyber-readme
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilroberta-base", "model-index": [{"name": "pippinnie/distilroberta-base-finetuned-cyber-readme", "results": []}]} | pippinnie/distilroberta-base-finetuned-cyber-readme | null | [
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| pippinnie/distilroberta-base-finetuned-cyber-readme
===================================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.6746
* Validation Loss: 1.5880
* Epoch: 0
Model descripti... | [
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... | [
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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": []} | ankhamun/x0o0_VCsj0x0o | 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]:
- Model type:
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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. -->
# cnn_xsum_samsum_model
This model is a fine-tuned version of [lidiya/bart-large-xsum-samsum](https://huggingface.co/lidiya/bart-l... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "lidiya/bart-large-xsum-samsum", "model-index": [{"name": "cnn_xsum_samsum_model", "results": []}]} | SWAGATAM041/cnn_xsum_samsum_model | null | [
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| cnn\_xsum\_samsum\_model
========================
This model is a fine-tuned version of lidiya/bart-large-xsum-samsum on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6585
* Rouge1: 0.4194
* Rouge2: 0.1959
* Rougel: 0.2948
* Rougelsum: 0.3902
* Gen Len: 60.8916
Model descr... | [
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text-generation | transformers | ***ScikitLLM*** is an LLM finetuned on writing references and code for the Scikit-Learn documentation.
Features of ScikitLLM includes:
* Support for RAG (three chunks)
* Sources and quotations using a modified version of the wiki syntax ("<ref>")
* Code samples and examples based on the code quoted in the chunks.
* Ex... | {} | probabl-ai/ScikitLLM-Model-exl2 | null | [
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| *ScikitLLM* is an LLM finetuned on writing references and code for the Scikit-Learn documentation.
Features of ScikitLLM includes:
* Support for RAG (three chunks)
* Sources and quotations using a modified version of the wiki syntax ("<ref>")
* Code samples and examples based on the code quoted in the chunks.
* Expand... | [
"## Training\n\nScikitLLM is based on Mistral-OpenHermes 7B, a pre-existing finetune version of Mistral 7B. OpenHermes already include many desired capacities for the end use, including instruction tuning, source analysis, and native support for the chatML syntax.\n\nAs a fine-tune of a fine-tune, ScikitLLM has bee... | [
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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. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | ml4algotrading/finetuning-sentiment-model-3000-samples | null | [
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3375
- Accuracy: 0.8767
- F1: 0.8810
## Model description
More information needed
## Intended uses & limitations
More ... | [
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text-generation | transformers |
# Sappho_V0.0.1
Sappho_V0.0.1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [WizardLM/WizardMath-7B-V1.0](https://huggingface.co/WizardLM/WizardMath-7B-V1.0)
* [VAGOsolutions/SauerkrautLM-7b-HerO](https://huggingface.c... | {"tags": ["merge", "mergekit", "lazymergekit", "WizardLM/WizardMath-7B-V1.0", "VAGOsolutions/SauerkrautLM-7b-HerO"], "base_model": ["WizardLM/WizardMath-7B-V1.0", "VAGOsolutions/SauerkrautLM-7b-HerO"]} | Jakolo121/Sappho_V0.0.1 | null | [
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# Sappho_V0.0.1
Sappho_V0.0.1 is a merge of the following models using LazyMergekit:
* WizardLM/WizardMath-7B-V1.0
* VAGOsolutions/SauerkrautLM-7b-HerO
## Configuration
## Usage
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | alynakbaba/Enlighten_Instruct | null | [
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|
# Model Card for Model ID
## Model Details
### 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": []} | au2a/Llama-2-7b-hf-20240401-2 | 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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text-to-image | diffusers | Model info: Outline Color | 勾线彩画凤
https://civitai.com/models/378117/outline-color-or
outlineColor_v10.safetensors
Author Civitai.com Page:
https://civitai.com/user/xiaomeige
Author's DEMO images:
![9babb9290ddcd16a73a6651c7f63aa9f3615924ec17159c773a2b4b780605fe5.png](https://cdn-uploads.huggingface.co/production/... | {"license": "other", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "inference": true} | digiplay/xiaomeige_outlineColor_v10 | null | [
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| Model info: Outline Color | 勾线彩画凤
URL
outlineColor_v10.safetensors
Author URL Page:
URL
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilhubert-bass-classifier3
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["TheDuyx/augmented_bass_data"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-bass-classifier3", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dat... | TheDuyx/distilhubert-bass-classifier3 | null | [
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| distilhubert-bass-classifier3
=============================
This model is a fine-tuned version of ntu-spml/distilhubert on the bass\_design\_encoded dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0115
* Accuracy: 0.9987
Model description
-----------------
More information needed
I... | [
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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. -->
# LegalAbstractiveSummarization
This model is a fine-tuned version of [AathifMohammed/t5baseflan](https://huggingface.co/AathifMoh... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "AathifMohammed/t5baseflan", "model-index": [{"name": "LegalAbstractiveSummarization", "results": []}]} | 12345deena/LegalAbstractiveSummarization | null | [
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=============================
This model is a fine-tuned version of AathifMohammed/t5baseflan on an unknown dataset.
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* Loss: 2.3803
* Rouge1: 47.7228
* Rouge2: 21.5558
* Rougel: 28.288
* Rougelsum: 43.2466
* Gen Len: 278.26
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null | transformers |
# Uploaded model
- **Developed by:** maghrane
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | maghrane/mistralQOCR | null | [
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# Uploaded model
- Developed by: maghrane
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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<img src="URL width="200"/>
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text-generation | transformers | # [MaziyarPanahi/YamNeuralsirkrishna-7B-GGUF](https://huggingface.co/MaziyarPanahi/YamNeuralsirkrishna-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/YamNeuralsirkrishna-7B](https://huggingface.co/automerger/YamNeuralsirkrishna-7B)
## Description
[MaziyarPanahi/... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:mayacinka/yam-jom-7B", "base_model:Kukedlc/NeuralSirKrishna-7b", "license:apache-2.0", "autotrain_compatible", ... | MaziyarPanahi/YamNeuralsirkrishna-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/YamNeuralsirkrishna-7B
## Description
MaziyarPanahi/YamNeuralsirkrishna-7B-GGUF contains GGUF format model files for automerger/YamNeuralsirkrishna-7B.
## How to use
Thanks to TheBloke for preparing an amazing README ... | [
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video-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. -->
# checkpoint-291-3ep3bsfrmulti4
This model was trained from scratch on an unknown dataset.
It achieves the following results on th... | {"tags": ["generated_from_trainer"], "metrics": ["recall", "precision", "f1"], "model-index": [{"name": "checkpoint-291-3ep3bsfrmulti4", "results": []}]} | Myaukko/checkpoint-291-3ep3bsfrmulti4 | null | [
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| checkpoint-291-3ep3bsfrmulti4
=============================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2616
* Recall: 0.9032
* Precision: 0.9655
* F1: 0.9333
* Roc Auc: 0.8333
Model description
-----------------
More information ... | [
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text-generation | transformers |
# 🌿 Heliotrope-Ely-Swa-slerp-7B
Heliotrope-Ely-Swa-slerp-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing) of [Maxime Labonne](https://huggingface.co/mlabonne) powered by [MergeKit](https://github.com/arcee-ai/mergekit) o... | {"language": ["ja", "en"], "tags": ["merge", "mergekit", "lazymergekit", "elyza/ELYZA-japanese-Llama-2-7b", "tokyotech-llm/Swallow-7b-hf"], "base_model": ["elyza/ELYZA-japanese-Llama-2-7b", "tokyotech-llm/Swallow-7b-hf"]} | AkimfromParis/Heliotrope-Ely-Swa-slerp-7B | null | [
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# Heliotrope-Ely-Swa-slerp-7B
Heliotrope-Ely-Swa-slerp-7B is a merge of the following models using LazyMergekit of Maxime Labonne powered by MergeKit of Arcee AI:
* elyza/ELYZA-japanese-Llama-2-7b (Base model)
* tokyotech-llm/Swallow-7b-hf
## Configuration
## Usage for HuggingFace
# Citation
URL | [
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text-generation | transformers |
# Mixtral-8x7b-Instruct-v0.1-int4-ov
* Model creator: [Mistral AI](https://huggingface.co/mistralai)
* Original model: [Mixtral 8X7B Instruct v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
## Description
This is [Mixtral-8x7b-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruc... | {"language": ["en"], "license": "apache-2.0"} | OpenVINO/mixtral-8x7b-instruct-v0.1-int4-ov | null | [
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"region:us"
] | null | 2024-04-01T12:41:24+00:00 | [] | [
"en"
] | TAGS
#transformers #openvino #mixtral #text-generation #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mixtral-8x7b-Instruct-v0.1-int4-ov
* Model creator: Mistral AI
* Original model: Mixtral 8X7B Instruct v0.1
## Description
This is Mixtral-8x7b-Instruct-v0.1 model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to INT4 by NNCF.
## Quantization Parameters
Weight comp... | [
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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. -->
# qwen7b
This model is a fine-tuned version of [Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat) on the wandan dataset... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "base_model": "Qwen/Qwen-7B-Chat", "model-index": [{"name": "qwen7b", "results": []}]} | ggkk2012/qwen7b-finance | null | [
"peft",
"safetensors",
"llama-factory",
"lora",
"generated_from_trainer",
"base_model:Qwen/Qwen-7B-Chat",
"license:other",
"region:us"
] | null | 2024-04-01T12:41:58+00:00 | [] | [] | TAGS
#peft #safetensors #llama-factory #lora #generated_from_trainer #base_model-Qwen/Qwen-7B-Chat #license-other #region-us
|
# qwen7b
This model is a fine-tuned version of Qwen/Qwen-7B-Chat on the wandan dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The followin... | [
"# qwen7b\n\nThis model is a fine-tuned version of Qwen/Qwen-7B-Chat on the wandan dataset.",
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"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training... | [
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"## Model description\n\nMore information needed",
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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. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | jasongs/distilgpt2-finetuned-wikitext2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
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"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T12:43:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3429
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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. -->
# results
This model is a fine-tuned version of [samaysk/megaspringllamaft70](https://huggingface.co/samaysk/megaspringllamaft70) ... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "samaysk/megaspringllamaft70", "model-index": [{"name": "results", "results": []}]} | samaysk/results | null | [
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"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:samaysk/megaspringllamaft70",
"region:us"
] | null | 2024-04-01T12:43:57+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-samaysk/megaspringllamaft70 #region-us
|
# results
This model is a fine-tuned version of samaysk/megaspringllamaft70 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The... | [
"# results\n\nThis model is a fine-tuned version of samaysk/megaspringllamaft70 on the None dataset.",
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"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"###... | [
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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. -->
# simplrops_rules_model
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistrala... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "simplrops_rules_model", "results": []}]} | lokaspire/simplrops_rules_model | null | [
"peft",
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"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
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"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# simplrops_rules_model
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
### Training... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | lockylocks/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T12:44:31+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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unconditional-image-generation | diffusers | # 这个模型用于生成蝴蝶图像的无条件图像生成扩散模型
'''python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('lililiibh/sd-class-butterflies-32')
image = pipeline().images[0]
image
| {"tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"], "\u200blicense": "mit"} | lililiibh/sd-class-butterflies-32 | null | [
"diffusers",
"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-01T12:46:02+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #diffusers-DDPMPipeline #region-us
| # 这个模型用于生成蝴蝶图像的无条件图像生成扩散模型
'''python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('lililiibh/sd-class-butterflies-32')
image = pipeline().images[0]
image
| [
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text-generation | transformers |
This repository hosts exl2 quantization for [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B).
**Original model information:**
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["exl2", "quantized", "roleplay", "4.25bpw", "mistral", "merge", "nsfw"], "inference": false, "base_model": ["ResplendentAI/Datura_7B", "ChaoticNeutrals/Eris_Floramix_DPO_7B"]} | TheVisitorX/InfinityRP-v1-7B-4.25bpw-exl2 | null | [
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|
This repository hosts exl2 quantization for Endevor/InfinityRP-v1-7B.
Original model information:
!waifu/jpeg
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here for people to try if interested in this format.
This model was basically made to stop some ... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711975807388x458533102220548350
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 photo of TOK
```
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": ["Frank535/DCC"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1711975807388x458533102220548350 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:Frank535/DCC",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T12:50:19+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Frank535/DCC #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711975807388x458533102220548350
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 |
# 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": []} | samaysk/ft70mergedmegaspringllamaft | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T12:54:43+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711976104918x555701566617636160
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:
```
TOK
```
Use this keyword to trigger your custom model in your prompts.
LoRA for ... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["ricardoaraujosr/pirarucu"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "TOK", "inference": false} | squaadinc/1711976104918x555701566617636160 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:ricardoaraujosr/pirarucu",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T12:55:17+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-ricardoaraujosr/pirarucu #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711976104918x555701566617636160
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... | [
"# LoRA DreamBooth - squaadinc/1711976104918x555701566617636160\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-ricardoaraujosr/pirarucu #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
"# LoRA DreamBooth - squaadinc/1711976104918x555701566617636160\nThese are LoRA adaption weights for stabilityai/stable-... | [
65,
127,
50
] | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-ricardoaraujosr/pirarucu #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n# LoRA DreamBooth - squaadinc/1711976104918x555701566617636160\nThese are LoRA adaption weights for stabilityai/stable-diffus... |
text-generation | transformers |
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.3
## Base Model :
* mistralai/Mistral-7B-v0.1
* Changgil/K2S3-Mistral-7b-v1.2
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Da... | {"language": ["en", "ko"], "license": "cc-by-nc-4.0"} | Changgil/K2S3-Mistral-7b-v1.3 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"ko",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T12:56:11+00:00 | [] | [
"en",
"ko"
] | TAGS
#transformers #safetensors #mistral #text-generation #en #ko #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.3
## Base Model :
* mistralai/Mistral-7B-v0.1
* Changgil/K2S3-Mistral-7b-v1.2
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Da... | [
"## Developed by : \n* K2S3",
"## Model Number:\n* K2S3-Mistral-7b-v1.3",
"## Base Model : \n* mistralai/Mistral-7B-v0.1\n* Changgil/K2S3-Mistral-7b-v1.2",
"### Training Data\n* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.\n* 이 모델의 훈련 데이터에는 alpaca-gpt4-dat... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #en #ko #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"## Developed by : \n* K2S3",
"## Model Number:\n* K2S3-Mistral-7b-v1.3",
"## Base Model : \n* mistralai/Mistral-7B-v0.1\n* Changgil/... | [
50,
10,
21,
39,
106,
140,
102
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #en #ko #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## Developed by : \n* K2S3## Model Number:\n* K2S3-Mistral-7b-v1.3## Base Model : \n* mistralai/Mistral-7B-v0.1\n* Changgil/K2S3-Mistral-7b-v1... |
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. -->
# multi_try
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "multi_try", "results": []}]} | gilmark123/multi_try | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T12:59:01+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# multi_try
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5858
- eval_accuracy: 0.7597
- eval_f1: 0.7598
- eval_confusion_matrix: [[679, 169, 23], [165, 773, 164], [34, 166, 827]]
- eval_runtime: 9.9959
- ... | [
"# multi_try\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 0.5858\n- eval_accuracy: 0.7597\n- eval_f1: 0.7598\n- eval_confusion_matrix: [[679, 169, 23], [165, 773, 164], [34, 166, 827]]\n- eval_runtime:... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# multi_try\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown da... | [
59,
148,
7,
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9,
4,
93,
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] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# multi_try\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.... |
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