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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": []} | dyingc/Mistral-7B-instruction-LoRA | 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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | andmog77/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1374
* F1: 0.8613
Model description
-----------------
More information needed
Intended uses & l... | [
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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": []} | UCFSD-LLMote/llama-2-Med-Quad-adapterv2 | null | [
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# Model Card for Model ID
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | 17nshul/custom-mpnet-base-v2 | null | [
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# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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Using this model becomes easy when you have sentence-transformers installed:
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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": []} | cilantro9246/v1zslj1 | null | [
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# Model Card for Model ID
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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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. -->
# V0410MP4
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0410MP4", "results": []}]} | Litzy619/V0410MP4 | null | [
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| V0410MP4
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1583
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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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": []} | cilantro9246/1laa80q | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# basic_train_basic_test_shuffle_250 300 1200 300 300
This model is a fine-tuned version of [openai/whisper-small](https://hugging... | {"language": ["multilingual"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "basic_train_basic_test_shuffle_250 300 1200 300 300", "results": [{"... | xbilek25/whisper-small-train-baasic_1000_1.0 | null | [
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| basic\_train\_basic\_test\_shuffle\_250 300 1200 300 300
========================================================
This model is a fine-tuned version of openai/whisper-small on the xbilek25/basic\_train\_basic\_test\_shuffle\_250 dataset.
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* Loss: 0.0982
* Wer:... | [
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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": []} | dyingc/Mistral-7B-instruction-finetuned | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Zardian/Cyber_assist3.1 | null | [
"transformers",
"safetensors",
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
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#transformers #safetensors #qwen2 #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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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# T5-based-Masked-keywords-to-Sentence-Epoch-10
This model is a fine-tuned version of [mrm8488/t5-base-finetuned-common_gen](https... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "mrm8488/t5-base-finetuned-common_gen", "model-index": [{"name": "T5-based-Masked-keywords-to-Sentence-Epoch-10", "results": []}]} | Ziyi98/T5-based-Masked-keywords-to-Sentence-Epoch-10 | null | [
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| T5-based-Masked-keywords-to-Sentence-Epoch-10
=============================================
This model is a fine-tuned version of mrm8488/t5-base-finetuned-common\_gen on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3073
* Bleu: 6.3322
* Gen Len: 13.3221
Model description... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10\n* mixed\\_p... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - DaichiT/path-to-save-model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weig... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "latent-diffusion", "latent-diffusion-diffusers", "text-to-image", "dreambooth", "diffusers-training", "latent-diffusion", "latent-diffusion-d... | DaichiT/path-to-save-model | null | [
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"license:creativeml-openrail-m",
"diffusers:LDMTextT... | null | 2024-04-10T06:20:40+00:00 | [] | [] | TAGS
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|
# DreamBooth - DaichiT/path-to-save-model
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.
## Intended uses & limitatio... | [
"# DreamBooth - DaichiT/path-to-save-model\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 | 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": []} | tingting/openai-whisper-large-v2-common_voice_17_0-LORA | null | [
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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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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | mergekit-community/mergekit-slerp-zzizhry | null | [
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"autotrain_compatible",
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] | null | 2024-04-10T06:27:07+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
### Configuration
The following... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/weezywitasneezy/OxytocinErosEngineeringFX-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this ti... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "weezywitasneezy/OxytocinErosEngineeringF1-7B-slerp", "weezywitasneezy/OxytocinErosEngineeringF2-7B-slerp", "ChaoticNeutrals/Eris_Remix_7B", "Virt-io/Erebus-Holodeck-7B", "jeiku/Eros_Prodigadigm... | mradermacher/OxytocinErosEngineeringFX-7B-slerp-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | cindy990915/duke_chatbot_0409 | null | [
"peft",
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"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-10T06:28:37+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | 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. -->
# V0410MP1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0410MP1", "results": []}]} | Litzy619/V0410MP1 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0410MP1
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3412
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ying7888/t5-lora-ar-60 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T06:29:16+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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"# Model Card for Model ID",
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feature-extraction | 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. -->
# finetuned_bge_ver5
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver5", "results": []}]} | comet24082002/finetuned_bge_ver5 | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"feature-extraction",
"generated_from_trainer",
"base_model:BAAI/bge-m3",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T06:29:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver5
This model is a fine-tuned version of BAAI/bge-m3 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 hyperparameters
The fo... | [
"# finetuned_bge_ver5\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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"### Tr... | [
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null | null |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
| {"title": "Text Calssification Model", "emoji": "\ud83c\udfc3", "colorFrom": "indigo", "colorTo": "purple", "sdk": "streamlit", "sdk_version": "1.27.2", "app_file": "app.py", "pinned": false} | kkavi562/Text_Classification_Model | null | [
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#region-us
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Check out the configuration reference at URL
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text-to-image | diffusers |
# SDXS-512-DreamShaper
SDXS is a model that can generate high-resolution images in real-time based on prompt texts, trained using score distillation and feature matching.
For more information, please refer to our research paper: [SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions](https://arxiv.o... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion"], "inference": false} | IDKiro/sdxs-512-dreamshaper | null | [
"diffusers",
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"stable-diffusion",
"arxiv:2403.16627",
"license:openrail++",
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|
# SDXS-512-DreamShaper
SDXS is a model that can generate high-resolution images in real-time based on prompt texts, trained using score distillation and feature matching.
For more information, please refer to our research paper: SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions.
We open-source ... | [
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null | null |
# DavidAU/LLaMA2-13B-Holomax-Q8_0-GGUF
This model was converted to GGUF format from [`KoboldAI/LLaMA2-13B-Holomax`](https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:/... | {"license": "other", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/LLaMA2-13B-Holomax-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:other",
"region:us"
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#gguf #llama-cpp #gguf-my-repo #license-other #region-us
|
# DavidAU/LLaMA2-13B-Holomax-Q8_0-GGUF
This model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/LLaMA2-13B-Holomax-Q8_0-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\... | [
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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": []} | rwh/s1_20240410_063207 | null | [
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"stablelm",
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
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- License... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type2_session7
This model is a fine-tuned version of [nsugianto/detr-res... | {"tags": ["generated_from_trainer"], "base_model": "nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type2_session6", "model-index": [{"name": "detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type2_session7", "results": []}]} | nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type2_session7 | null | [
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|
# detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type2_session7
This model is a fine-tuned version of nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type2_session6 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information need... | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, [AetherResearch](https://huggingface.co/AetherResearch)
# Inspired by [abacusai's bigyi-15b](https://huggingface.co/abacusai/big... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | Joseph717171/Cerebrum-1.0-12.25B | null | [
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|
!image/png
# Credit for the model card's description goes to ddh0, mergekit, and, AetherResearch
# Inspired by abacusai's bigyi-15b
# Cerebrum-1.0-12.25B
This is Cerebrum-1.0-12.25B, layer-interleaved to make a larger ~13B version of AetherResearch/Cerebrum-1.0-7b.
This model is intended to be used as a basis for f... | [
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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/finefalcon2000 | null | [
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#peft #safetensors #falcon #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- 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... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
The model was tuned on 10.000 examples of the form:
```
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:... | {"library_name": "transformers", "tags": []} | wendlerc/asciiart-mistral-7b-v2-qlora-64-16-padtok | null | [
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# Model Card for Model ID
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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": []} | bharathirajan89/bharathi_gemma_7b_pulse_tmp_1000_rows | 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-generation | transformers | # Model Card for Mixtral-8x22B
Mistral AI finally released the weights to the [official Mistral AI organization](https://huggingface.co/mistralai) with both the base model and the instruct tune. \
[mistralai/Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1) & [mistralai/Mixtral-8x22B-Instruct-v0.... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe"]} | v2ray/Mixtral-8x22B-v0.1 | null | [
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| # Model Card for Mixtral-8x22B
Mistral AI finally released the weights to the official Mistral AI organization with both the base model and the instruct tune. \
mistralai/Mixtral-8x22B-v0.1 & mistralai/Mixtral-8x22B-Instruct-v0.1
HuggingFace staffs cloned this repo to an official new repo mistral-community/Mixtral-8x2... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Alsebay
- **License:** apache-2.0
- **Finetuned from model :** SanjiWatsuki/Kunoichi-DPO-v2-7B
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "SanjiWatsuki/Kunoichi-DPO-v2-7B"} | Alsebay/test-llm | null | [
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|
# Uploaded model
- Developed by: Alsebay
- License: apache-2.0
- Finetuned from model : SanjiWatsuki/Kunoichi-DPO-v2-7B
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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null | transformers |
# RaincloudAi/Starling-LM-7B-alpha-Q4_K_M-GGUF
This model was converted to GGUF format from [`berkeley-nest/Starling-LM-7B-alpha`](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["reward model", "RLHF", "RLAIF", "llama-cpp", "gguf-my-repo"], "datasets": ["berkeley-nest/Nectar"]} | RaincloudAi/Starling-LM-7B-alpha-Q4_K_M-GGUF | null | [
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|
# RaincloudAi/Starling-LM-7B-alpha-Q4_K_M-GGUF
This model was converted to GGUF format from 'berkeley-nest/Starling-LM-7B-alpha' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CL... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server... | [
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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": []} | austin/early-readmission-deberta | null | [
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"safetensors",
"deberta-v2",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #deberta-v2 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | MJQing/xlm-roberta-base-finetuned-panx-de | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T06:41:27+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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",
"### Traini... | [
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text-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. -->
# BrianLiu/distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an un... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilgpt2", "model-index": [{"name": "BrianLiu/distilgpt2-finetuned-wikitext2", "results": []}]} | BrianLiu/distilgpt2-finetuned-wikitext2 | null | [
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| BrianLiu/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:
* Train Loss: 3.8578
* Validation Loss: 3.6751
* Epoch: 0
Model description
-----------------
More info... | [
"### 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-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. -->
# criminal-case-RoBERTa3
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dat... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "criminal-case-RoBERTa3", "results": []}]} | PasinduProjects/criminal-case-RoBERTa3 | null | [
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"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T06:43:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| criminal-case-RoBERTa3
======================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5650
* Accuracy: 0.7488
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* training\\_steps: 30",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - wanghaikuan/path_to_saved_model
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. Th... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "dreambooth", "diffuse... | wanghaikuan/path_to_saved_model | null | [
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"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region... | null | 2024-04-10T06:43:41+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# DreamBooth - wanghaikuan/path_to_saved_model
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. 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.
## Intended uses & lim... | [
"# DreamBooth - wanghaikuan/path_to_saved_model\n\nThis is a dreambooth model derived from runwayml/stable-diffusion-v1-5. 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.",
"## Intended... | [
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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. -->
# randeng-t5-vta-qa-lora
This model is a fine-tuned version of [IDEA-CCNL/Randeng-T5-784M-QA-Chinese](https://huggingface.co/IDEA-... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "IDEA-CCNL/Randeng-T5-784M-QA-Chinese", "model-index": [{"name": "randeng-t5-vta-qa-lora", "results": []}]} | kietnt0603/randeng-t5-vta-qa-lora | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:IDEA-CCNL/Randeng-T5-784M-QA-Chinese",
"has_space",
"region:us"
] | null | 2024-04-10T06:44:51+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-IDEA-CCNL/Randeng-T5-784M-QA-Chinese #has_space #region-us
|
# randeng-t5-vta-qa-lora
This model is a fine-tuned version of IDEA-CCNL/Randeng-T5-784M-QA-Chinese on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
"# randeng-t5-vta-qa-lora\n\nThis model is a fine-tuned version of IDEA-CCNL/Randeng-T5-784M-QA-Chinese on the None dataset.",
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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":... | gRaphael/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-10T06:46:57+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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null | transformers |
# Model Card for C4AI Command R+
This is the quantized version for Command R Plus at 8bpw exl2
## Model Summary
C4AI Command R+ is an open weights research release of a 104B billion parameter model with highly advanced capabilities, this includes Retrieval Augmented Generation (RAG) and tool use to automate sophist... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers"} | bullerwins/c4ai-command-r-plus-8.0bpw-exl2 | null | [
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"ko",
"zh",
"ar",
"license:cc-by-nc-4.0",
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#transformers #safetensors #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| Model Card for C4AI Command R+
==============================
This is the quantized version for Command R Plus at 8bpw exl2
Model Summary
-------------
C4AI Command R+ is an open weights research release of a 104B billion parameter model with highly advanced capabilities, this includes Retrieval Augmented Generat... | [
"### Tool use & multihop capabilities:\n\n\nCommand R+ has been specifically trained with conversational tool use capabilities. These have been trained into the model via a mixture of supervised fine-tuning and preference fine-tuning, using a specific prompt template. Deviating from this prompt template will likely... | [
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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. -->
# meditron-7b-dpo-full-wo-live_qa-ep3
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b-dpo-full-wo-live_qa-ep3", "results": []}]} | Minbyul/meditron-7b-dpo-full-wo-live_qa-ep3 | null | [
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"text-generation-in... | null | 2024-04-10T06:48:03+00:00 | [] | [] | TAGS
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| meditron-7b-dpo-full-wo-live\_qa-ep3
====================================
This model is a fine-tuned version of epfl-llm/meditron-7b on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5356
* Rewards/chosen: -0.2871
* Rewards/rejected: -0.7760
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | null |
# DavidAU/LLaMA2-13B-Holomax-Q5_K_M-GGUF
This model was converted to GGUF format from [`KoboldAI/LLaMA2-13B-Holomax`](https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"license": "other", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/LLaMA2-13B-Holomax-Q5_K_M-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #license-other #region-us
|
# DavidAU/LLaMA2-13B-Holomax-Q5_K_M-GGUF
This model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
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object-detection | 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": []} | Spatiallysaying/detr-finetuned-rwythr-no_context | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Equall/Saul-Base](https://huggingface.co/Eq... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Equall/Saul-Base", "HuggingFaceH4/zephyr-7b-beta"]} | mergekit-community/mergekit-slerp-kxzcrwh | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Equall/Saul-Base
* HuggingFaceH4/zephyr-7b-beta
### Configuration
The following... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | H83/mistral_instruct_generation | null | [
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|
# mistral_instruct_generation
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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text-generation | transformers | # Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
## Usage
To use the model with the `transformers` library on a machine with GPUs, first make sure you have ... | {"language": ["en"], "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico"} | Aaryan-Nakhat/experiment-32-prompt-5-guardrails-finetuning-itr-4-sub-prompt-2 | null | [
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| # Model Card
## Summary
This model was trained using H2O LLM Studio.
- Base model: HuggingFaceH4/zephyr-7b-beta
## Usage
To use the model with the 'transformers' library on a machine with GPUs, first make sure you have the 'transformers' library installed.
Also make sure you are providing your huggingface token ... | [
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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": []} | ashanhr/wav2vec2-large-xls-r-300m-finetune-dali-480-minutes | 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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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": []} | alexandra234/wav2vec2_custome_dataset_razhan | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | MJQing/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1639
* F1: 0.8591
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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",
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null | mlx |
# mlx-community/mixtral-8x22b-4bit
This model was converted to MLX format from [`v2ray/Mixtral-8x22B-v0.1`](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1) using mlx-lm version **0.4.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/v2r... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe", "mlx"]} | mlx-community/Mixtral-8x22B-4bit | null | [
"mlx",
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"mixtral",
"moe",
"fr",
"it",
"de",
"es",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T07:01:10+00:00 | [] | [
"fr",
"it",
"de",
"es",
"en"
] | TAGS
#mlx #safetensors #mixtral #moe #fr #it #de #es #en #license-apache-2.0 #region-us
|
# mlx-community/mixtral-8x22b-4bit
This model was converted to MLX format from 'v2ray/Mixtral-8x22B-v0.1' using mlx-lm version 0.4.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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null | null |
# DavidAU/LLaMA2-13B-Holomax-Q5_K_S-GGUF
This model was converted to GGUF format from [`KoboldAI/LLaMA2-13B-Holomax`](https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"license": "other", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/LLaMA2-13B-Holomax-Q5_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:other",
"region:us"
] | null | 2024-04-10T07:01:26+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-other #region-us
|
# DavidAU/LLaMA2-13B-Holomax-Q5_K_S-GGUF
This model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
"# DavidAU/LLaMA2-13B-Holomax-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\... | [
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text-generation | transformers |
# Tiny-Llama-2.2B-slerpx2
JPMixModel-test16 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Chuanming/Tiny-Llama-2.2B-slerp](https://huggingface.co/Chuanming/Tiny-Llama-2.2B-slerp)
* [Chuanming/Tiny-Llama-2.2B-slerp](ht... | {"tags": ["merge", "mergekit", "lazymergekit", "Chuanming/Tiny-Llama-2.2B-slerp"], "base_model": ["Chuanming/Tiny-Llama-2.2B-slerp", "Chuanming/Tiny-Llama-2.2B-slerp"]} | aipib/Tiny-Llama-2.2B-slerpx2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"Chuanming/Tiny-Llama-2.2B-slerp",
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"base_model:Chuanming/Tiny-Llama-2.2B-slerp",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T07:02:13+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #Chuanming/Tiny-Llama-2.2B-slerp #conversational #base_model-Chuanming/Tiny-Llama-2.2B-slerp #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Tiny-Llama-2.2B-slerpx2
JPMixModel-test16 is a merge of the following models using LazyMergekit:
* Chuanming/Tiny-Llama-2.2B-slerp
* Chuanming/Tiny-Llama-2.2B-slerp
## Configuration
## Usage
| [
"# Tiny-Llama-2.2B-slerpx2\n\nJPMixModel-test16 is a merge of the following models using LazyMergekit:\n* Chuanming/Tiny-Llama-2.2B-slerp\n* Chuanming/Tiny-Llama-2.2B-slerp",
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text-to-speech | transformers |
# Model Card for taiwanese-hakka-tts-sixian-hailu-mix
<!-- Provide a quick summary of what the model is/does. -->
A experimental model to try language embedding. (use on dialect)
## Model Details
- YourTTS
- sample rate: 16k
- Training data contain four persons
- Use learnable speaker embedding
- Use language embe... | {"language": ["hak"], "license": "mit", "pipeline_tag": "text-to-speech"} | formospeech/taiwanese-hakka-tts-sixian-hailu-mix | null | [
"transformers",
"text-to-speech",
"hak",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-10T07:03:54+00:00 | [] | [
"hak"
] | TAGS
#transformers #text-to-speech #hak #license-mit #endpoints_compatible #has_space #region-us
|
# Model Card for taiwanese-hakka-tts-sixian-hailu-mix
A experimental model to try language embedding. (use on dialect)
## Model Details
- YourTTS
- sample rate: 16k
- Training data contain four persons
- Use learnable speaker embedding
- Use language embedding
### Model Sources
- Repository: coqui-ai/TTS
- De... | [
"# Model Card for taiwanese-hakka-tts-sixian-hailu-mix\n\n\n\nA experimental model to try language embedding. (use on dialect)",
"## Model Details\n\n- YourTTS\n- sample rate: 16k\n- Training data contain four persons\n- Use learnable speaker embedding\n- Use language embedding",
"### Model Sources\n\n\n\n- Rep... | [
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"## Model Details\n\n- YourTTS\n- sample rate: 16k\n- Training data contain fou... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_noreplacerej_0alpha_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_noreplacerej_iter_2](https:/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ShenaoZhang/0.001_idpo_noreplacerej_dataset"], "base_model": "ShenaoZhang/0.001_idpo_noreplacerej_iter_2", "model-index": [{"name": "0.001_idpo_noreplacerej_0alpha_iter_3", "results": []}]} | ShenaoZhang/0.001_idpo_noreplacerej_0alpha_iter_3 | null | [
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"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
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"base_model:ShenaoZhang/0.001_idpo_noreplacerej_iter_2",
"license:mit",
"autotrain_compatible",
... | null | 2024-04-10T07:04:21+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ShenaoZhang/0.001_idpo_noreplacerej_dataset #base_model-ShenaoZhang/0.001_idpo_noreplacerej_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference ... |
# 0.001_idpo_noreplacerej_0alpha_iter_3
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_noreplacerej_iter_2 on the ShenaoZhang/0.001_idpo_noreplacerej_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation dat... | [
"# 0.001_idpo_noreplacerej_0alpha_iter_3\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_noreplacerej_iter_2 on the ShenaoZhang/0.001_idpo_noreplacerej_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Trainin... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ShenaoZhang/0.001_idpo_noreplacerej_dataset #base_model-ShenaoZhang/0.001_idpo_noreplacerej_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-infe... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_noreplacerej_5e8lr_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_noreplacerej_iter_2](https://... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ShenaoZhang/0.001_idpo_noreplacerej_dataset"], "base_model": "ShenaoZhang/0.001_idpo_noreplacerej_iter_2", "model-index": [{"name": "0.001_idpo_noreplacerej_5e8lr_iter_3", "results": []}]} | ShenaoZhang/0.001_idpo_noreplacerej_5e8lr_iter_3 | null | [
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"mistral",
"text-generation",
"alignment-handbook",
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"dpo",
"conversational",
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"base_model:ShenaoZhang/0.001_idpo_noreplacerej_iter_2",
"license:mit",
"autotrain_compatible",
... | null | 2024-04-10T07:05:45+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ShenaoZhang/0.001_idpo_noreplacerej_dataset #base_model-ShenaoZhang/0.001_idpo_noreplacerej_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference ... |
# 0.001_idpo_noreplacerej_5e8lr_iter_3
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_noreplacerej_iter_2 on the ShenaoZhang/0.001_idpo_noreplacerej_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data... | [
"# 0.001_idpo_noreplacerej_5e8lr_iter_3\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_noreplacerej_iter_2 on the ShenaoZhang/0.001_idpo_noreplacerej_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffie3/sx3](https://huggingface.co/coffie3... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffie3/sx3", "tomaszki/stablelm-19"]} | Sumail/Barista44 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:coffie3/sx3",
"base_model:tomaszki/stablelm-19",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:06:49+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-coffie3/sx3 #base_model-tomaszki/stablelm-19 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffie3/sx3
* tomaszki/stablelm-19
### Configuration
The following YAML configu... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* coffie3/sx3\n* tomaszki/stablelm-19",
"### Configurati... | [
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null | null |
# DavidAU/LLaMA2-13B-Holomax-Q4_K_M-GGUF
This model was converted to GGUF format from [`KoboldAI/LLaMA2-13B-Holomax`](https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"license": "other", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/LLaMA2-13B-Holomax-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:other",
"region:us"
] | null | 2024-04-10T07:08:48+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-other #region-us
|
# DavidAU/LLaMA2-13B-Holomax-Q4_K_M-GGUF
This model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
"# DavidAU/LLaMA2-13B-Holomax-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\... | [
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"# DavidAU/LLaMA2-13B-Holomax-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | jinghuanHuggingface/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-04-10T07:08:56+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
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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-500-1
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuther... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-500-1", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-500-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neo",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/gpt-neo-125m",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:09:22+00:00 | [] | [] | TAGS
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| gpt-neo-125m-cs-finetuning-500-1
================================
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: 3.6266
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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automatic-speech-recognition | 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": []} | shtapm/whisper-large_0410_finetuning_50steps | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | MJQing/xlm-roberta-base-finetuned-panx-fr | null | [
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| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2750
* F1: 0.8495
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | peft | # Moostral: Fine-tuning of Mistral for Multi-objective optimization problem translation
`Moostral` is a fine-tuning on [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) with the goal of translating multi-objective optimization problems from a textual representation to a jMetal implementation automatically.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["multi-objective optimization", "jMetal"], "pipeline_tag": "text-generation", "widget": [{"example_title": "Problem Generation", "text": "### Textual problem:\nf(x) = exp(x[1]) + x[2]^2 + sin(x[3])\n\ng(x) = x[1]^2 + exp(x[2]) + cos(x[3])\n\nh(x) = tanh(x[1]) -... | jfaldanam/moostral-7B | null | [
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| # Moostral: Fine-tuning of Mistral for Multi-objective optimization problem translation
'Moostral' is a fine-tuning on Mistral 7B with the goal of translating multi-objective optimization problems from a textual representation to a jMetal implementation automatically.
A graphical tool for using the model, the code for... | [
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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-500-2
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuther... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-500-2", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-500-2 | null | [
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| gpt-neo-125m-cs-finetuning-500-2
================================
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: 3.5173
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",
"### Traini... | [
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text-generation | transformers |
Cerpen specifically trained to generate creative and engaging stories in Bahasa Indonesia. This model can be a valuable tool for authors, students, and anyone interested in exploring the art of storytelling in Bahasa Indonesia.
## Using Tags to Guide Your Story:
Cerpen allows you to guide the story generation using ... | {"language": ["id"], "license": "llama2"} | Obrolin/Cerpen-7B-v0.1 | null | [
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|
Cerpen specifically trained to generate creative and engaging stories in Bahasa Indonesia. This model can be a valuable tool for authors, students, and anyone interested in exploring the art of storytelling in Bahasa Indonesia.
## Using Tags to Guide Your Story:
Cerpen allows you to guide the story generation using ... | [
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text-to-image | diffusers | This is a test | {"library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-im... | dlcvUIUC/retro_lora | null | [
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"diffusers-training",
"lora",
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#diffusers #tensorboard #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #region-us
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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-500-3
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuther... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-500-3", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-500-3 | null | [
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"gpt_neo",
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"generated_from_trainer",
"base_model:EleutherAI/gpt-neo-125m",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:13:31+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-500-3
================================
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: 3.6266
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",
"### Traini... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\... | [
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null | null |
# DavidAU/LLaMA2-13B-Holomax-Q4_K_S-GGUF
This model was converted to GGUF format from [`KoboldAI/LLaMA2-13B-Holomax`](https://huggingface.co/KoboldAI/LLaMA2-13B-Holomax) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"license": "other", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/LLaMA2-13B-Holomax-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:other",
"region:us"
] | null | 2024-04-10T07:13:56+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-other #region-us
|
# DavidAU/LLaMA2-13B-Holomax-Q4_K_S-GGUF
This model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
"# DavidAU/LLaMA2-13B-Holomax-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLaMA2-13B-Holomax' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | MJQing/xlm-roberta-base-finetuned-panx-it | null | [
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"base_model:xlm-roberta-base",
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| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2619
* F1: 0.8321
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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",
"### Traini... | [
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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. -->
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-wikitext2", "results": []}]} | BrianLiu/distilroberta-base-finetuned-wikitext2 | null | [
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] | null | 2024-04-10T07:15:30+00:00 | [] | [] | TAGS
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| distilroberta-base-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8611
Model description
-----------------
More information needed
Intended uses & limi... | [
"### 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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text-generation | transformers |
# TripleMerge-12B-slerp
TripleMerge-12B-slerp is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/mergekit-slerp-zplzqvn](https://huggingface.co/allknowingroger/mergekit-slerp-zplzq... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/mergekit-slerp-zplzqvn", "allknowingroger/StarlingMaxLimmy2-7B-slerp", "allknowingroger/Mistraldouble-7B-task"], "base_model": ["allknowingroger/mergekit-slerp-zplzqvn", "allknowingroger/StarlingMaxLimmy2-7B-sl... | allknowingroger/TripleMerge-12B-slerp | null | [
"transformers",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"allknowingroger/mergekit-slerp-zplzqvn",
"allknowingroger/StarlingMaxLimmy2-7B-slerp",
"allknowingroger/Mistraldouble-7B-task",
"base_model:allknowingroger/mergekit-slerp-zplzqvn",
"base_... | null | 2024-04-10T07:15:39+00:00 | [] | [] | TAGS
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# TripleMerge-12B-slerp
TripleMerge-12B-slerp is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/mergekit-slerp-zplzqvn
* allknowingroger/StarlingMaxLimmy2-7B-slerp
* allknowingroger/Mistraldouble-7B-task
## Configuration
## Usage
| [
"# TripleMerge-12B-slerp\n\nTripleMerge-12B-slerp is a Mixture of Experts (MoE) made with the following models using LazyMergekit:\n* allknowingroger/mergekit-slerp-zplzqvn\n* allknowingroger/StarlingMaxLimmy2-7B-slerp\n* allknowingroger/Mistraldouble-7B-task",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | MJQing/xlm-roberta-base-finetuned-panx-en | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:15:53+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3905
* F1: 0.6861
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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",
"### Traini... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | MJQing/xlm-roberta-base-finetuned-panx-all | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:17:25+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-all
===================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1758
* F1: 0.8558
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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",
"### Traini... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
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text-to-image | diffusers |
# SDXL Unstable Diffusers v12 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "sdxl-un... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/sdxl-unstable-diffusers-v | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-10T07:18:29+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# SDXL Unstable Diffusers v12 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "sdxl-unstable-diffusers-v"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Gener... | [
"# SDXL Unstable Diffusers v12 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"sdxl-unstable-diffusers-v\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry ... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# SDXL Unstable Diffusers v12 API Inference\n\n!generated from URL",
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n# SDXL Unstable Diffusers v12 API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment... |
reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "pixelcopter_1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PLE-v0"}, ... | gRaphael/pixelcopter_1 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-10T07:19:30+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n",
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [unrented5443/5ycuce4](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["unrented5443/5ycuce4", "coffie3/sx3"]} | Sumail/Barista45 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:unrented5443/5ycuce4",
"base_model:coffie3/sx3",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:21:37+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-unrented5443/5ycuce4 #base_model-coffie3/sx3 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* unrented5443/5ycuce4
* coffie3/sx3
### Configuration
The following YAML configu... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* unrented5443/5ycuce4\n* coffie3/sx3",
"### Configurati... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-unrented5443/5ycuce4 #base_model-coffie3/sx3 #autotrain_compatible #endpoints_compatible #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
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null | transformers |
# DavidAU/Narrative_Nexus_DPO_7B-Q6_K-GGUF
This model was converted to GGUF format from [`jeiku/Narrative_Nexus_DPO_7B`](https://huggingface.co/jeiku/Narrative_Nexus_DPO_7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Narrative_Nexus_DPO_7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:21:44+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #endpoints_compatible #region-us
|
# DavidAU/Narrative_Nexus_DPO_7B-Q6_K-GGUF
This model was converted to GGUF format from 'jeiku/Narrative_Nexus_DPO_7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
"# DavidAU/Narrative_Nexus_DPO_7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'jeiku/Narrative_Nexus_DPO_7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CL... | [
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | tomeheya/IM-417-128x128-classification | null | [
"keras",
"has_space",
"region:us"
] | null | 2024-04-10T07:22:40+00:00 | [] | [] | TAGS
#keras #has_space #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n\nModel Plot\n----------\n\n\n\nView Model Plot\n!Model Image"
] | [
"TAGS\n#keras #has_space #region-us \n",
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] |
text-generation | transformers | Thanks to V2RAY for uploading, i shamelessly forked it here [here](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1)
# Model Card for Mixtral-8x22B
Converted to HuggingFace Transformers format using the script [here](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1/blob/main/convert.py).
The Mixtral-8x22B Large La... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe"]} | pharaouk/Mixtral-8x22B-v0.1 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"fr",
"it",
"de",
"es",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T07:24:40+00:00 | [] | [
"fr",
"it",
"de",
"es",
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #fr #it #de #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Thanks to V2RAY for uploading, i shamelessly forked it here here
# Model Card for Mixtral-8x22B
Converted to HuggingFace Transformers format using the script here.
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
## Run the model
By default, transformers will lo... | [
"# Model Card for Mixtral-8x22B\nConverted to HuggingFace Transformers format using the script here.\n\nThe Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.",
"## Run the model\n\nBy default, transformers will load the model in full precision. Therefore you might be i... | [
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fill-mask | transformers |
# GBERT-BioM-Translation-large
This model is a medically continuously pre-trained version of [deepset/gbert-large](https://huggingface.co/deepset/gbert-large).
## Training data
The model was trained on German PubMed abstracts, translated English PubMed abstracts, and translated MIMIC-III reports.
| Dataset | To... | {"license": "mit", "base_model": "deepset/gbert-base"} | ikim-uk-essen/GBERT-BioM-Translation-large | null | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"arxiv:2404.05694",
"base_model:deepset/gbert-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:28:24+00:00 | [
"2404.05694"
] | [] | TAGS
#transformers #pytorch #bert #fill-mask #arxiv-2404.05694 #base_model-deepset/gbert-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| GBERT-BioM-Translation-large
============================
This model is a medically continuously pre-trained version of deepset/gbert-large.
Training data
-------------
The model was trained on German PubMed abstracts, translated English PubMed abstracts, and translated MIMIC-III reports.
Dataset: German PubMed... | [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #arxiv-2404.05694 #base_model-deepset/gbert-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n"
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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. -->
# Whisper Base Ru
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the... | {"language": ["ru"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Base Ru", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic S... | whitemouse84/whisper-small-ru | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"ru",
"dataset:mozilla-foundation/common_voice_16_0",
"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:30:02+00:00 | [] | [
"ru"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #ru #dataset-mozilla-foundation/common_voice_16_0 #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Base Ru
===============
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2080
* Wer: 131.3577
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers |
<div align="center">
<h1>
360Zhinao (360智脑)
</h1>
</div>
<div align="center">
🤗 <a href="https://huggingface.co/qihoo360">HuggingFace</a>   |   
🤖 <a href="https://www.modelscope.cn/profile/qihoo360">ModelScope</a>   ｜   
💬 <a href="./assets/WeChat.png">WeChat (微信)</a>&... | {"language": ["zh", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["qihoo360", "\u5947\u864e360", "zhinao", "360Zhinao", "pretrain"]} | qihoo360/360Zhinao-7B-Chat-32K | null | [
"transformers",
"safetensors",
"zhinao",
"text-generation",
"qihoo360",
"奇虎360",
"360Zhinao",
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"zh",
"en",
"arxiv:2311.09198",
"arxiv:2309.16039",
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"autotrain_compatible",
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] | null | 2024-04-10T07:31:30+00:00 | [
"2311.09198",
"2309.16039"
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"zh",
"en"
] | TAGS
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|
360Zhinao (360智脑)
===================
[WeChat (微信)](./assets/URL)
Feel free to visit 360Zhinao's official website<URL> for more experience.
Introduction
============
We released the 360Zhinao model series:
* 360Zhinao-7B-Base
* 360Zhinao-7B-Chat-4K
* 360Zhinao-7B-Chat-32K
* 360Zhinao-7B-Chat-... | [
"### Long Context Benchmarks\n\n\nWe evaluated our 32K and 360K models on LongBench, a multi-task bilingual benchmark for long contexts. We report results on Chinese tasks most relevant to downstream applications: Single/Multi-Doc QA, Summarization, Few-Shot Learning and Code Completion.\n* ### 360Zhinao-7B-Chat-36... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# T5-based-Masked-keywords-to-Sentence-Epoch-100
This model is a fine-tuned version of [Ziyi98/T5-based-Masked-keywords-to-Sentenc... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Ziyi98/T5-based-Masked-keywords-to-Sentence-Epoch-10", "model-index": [{"name": "T5-based-Masked-keywords-to-Sentence-Epoch-100", "results": []}]} | Ziyi98/T5-based-Masked-keywords-to-Sentence-Epoch-100 | null | [
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"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:Ziyi98/T5-based-Masked-keywords-to-Sentence-Epoch-10",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T07:32:18+00:00 | [] | [] | TAGS
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| T5-based-Masked-keywords-to-Sentence-Epoch-100
==============================================
This model is a fine-tuned version of Ziyi98/T5-based-Masked-keywords-to-Sentence-Epoch-10 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.3610
* Bleu: 0.0608
* Gen Len: 16.6969
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 90\n* mixed\\_p... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ALBADDAWI/DeepCode-7B-Aurora-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["deepseek-ai/deepseek-math-7b-instruct", "deepseek-ai/deepseek-math-7b-base", "deepseek-ai/deepseek-math-7b-rl"], "base_model": "ALBADDAWI/DeepCode-7B-Aurora-v2", "quantized_by": "mradermacher"} | mradermacher/DeepCode-7B-Aurora-v2-GGUF | null | [
"transformers",
"gguf",
"deepseek-ai/deepseek-math-7b-instruct",
"deepseek-ai/deepseek-math-7b-base",
"deepseek-ai/deepseek-math-7b-rl",
"en",
"base_model:ALBADDAWI/DeepCode-7B-Aurora-v2",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:34:17+00:00 | [] | [
"en"
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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... | [] | [
"TAGS\n#transformers #gguf #deepseek-ai/deepseek-math-7b-instruct #deepseek-ai/deepseek-math-7b-base #deepseek-ai/deepseek-math-7b-rl #en #base_model-ALBADDAWI/DeepCode-7B-Aurora-v2 #license-mit #endpoints_compatible #region-us \n"
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94
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TheBigBlender/Daisuke
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "TheBigBlender/Daisuke", "quantized_by": "mradermacher"} | mradermacher/Daisuke-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:TheBigBlender/Daisuke",
"endpoints_compatible",
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] | null | 2024-04-10T07:34:38+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-TheBigBlender/Daisuke #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-TheBigBlender/Daisuke #endpoints_compatible #region-us \n"
] | [
36
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"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-TheBigBlender/Daisuke #endpoints_compatible #region-us \n"
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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. -->
# VoiceMath-Tiny-Quad
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["model_eng"], "metrics": ["wer"], "model-index": [{"name": "VoiceMath-Tiny-Quad", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "model_eng", "type": "model_eng", "confi... | hoonsung/VoiceMath-Tiny-Quad | null | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:model_eng",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:35:23+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #whisper #automatic-speech-recognition #generated_from_trainer #dataset-model_eng #license-apache-2.0 #model-index #endpoints_compatible #region-us
| VoiceMath-Tiny-Quad
===================
This model is a fine-tuned version of openai/URL on the model\_eng dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4370
* Wer: 11.5062
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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fill-mask | transformers |
# GBERT-BioM-Translation-base
This model is a medically continuously pre-trained version of [deepset/gbert-base](https://huggingface.co/deepset/gbert-base).
## Training data
The model was trained on German PubMed abstracts, translated English PubMed abstracts, and translated MIMIC-III reports.
| Dataset | Token... | {"license": "mit", "base_model": "deepset/gbert-base"} | ikim-uk-essen/GBERT-BioM-Translation-base | null | [
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"pytorch",
"bert",
"fill-mask",
"arxiv:2404.05694",
"base_model:deepset/gbert-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:35:49+00:00 | [
"2404.05694"
] | [] | TAGS
#transformers #pytorch #bert #fill-mask #arxiv-2404.05694 #base_model-deepset/gbert-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| GBERT-BioM-Translation-base
===========================
This model is a medically continuously pre-trained version of deepset/gbert-base.
Training data
-------------
The model was trained on German PubMed abstracts, translated English PubMed abstracts, and translated MIMIC-III reports.
Dataset: German PubMed, T... | [] | [
"TAGS\n#transformers #pytorch #bert #fill-mask #arxiv-2404.05694 #base_model-deepset/gbert-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n"
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# base_emotion_0410
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "recall"], "model-index": [{"name": "base_emotion_0410", "results": []}]} | LaoLaoFish/base_emotion_0410 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:35:55+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| base\_emotion\_0410
===================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1160
* Accuracy: 0.9550
* F1: 0.9546
* Precision:: 0.9570
* Recall: 0.9545
Model description
-----------------
More information needed
Intended ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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. -->
# LoRA DreamBooth - fyp-admin/dreambooth_Comets_15
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. Th... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "diffusers", "lora", "stable-diffusion", "stable-diffusion-diffusers"], "inference": true, "base_model": "runwayml/stable-diffusion-v1-5", "instance_prompt": "a picture of a Comet streaking across the black void of space. Its ir... | fyp-admin/dreambooth_Comets_15 | null | [
"diffusers",
"text-to-image",
"lora",
"stable-diffusion",
"stable-diffusion-diffusers",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | null | 2024-04-10T07:38:11+00:00 | [] | [] | TAGS
#diffusers #text-to-image #lora #stable-diffusion #stable-diffusion-diffusers #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #has_space #region-us
|
# LoRA DreamBooth - fyp-admin/dreambooth_Comets_15
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a picture of a Comet streaking across the black void of space. Its irregularly shaped nucleus appears grayish-white and a long tail stretches behind it, composed of glo... | [
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null | transformers |
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header... | {"license": "gemma", "library_name": "transformers", "model_name": "Gemma 1.1 2B (IT)", "base_model": "google/gemma-1.1-2b-it", "inference": false, "model_creator": "Google", "quantized_by": "Second State Inc."} | second-state/gemma-1.1-2b-it-GGUF | null | [
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|
---
Gemma-1.1-2b-it-GGUF
====================
Original Model
--------------
google/gemma-1.1-2b-it
Run with LlamaEdge
------------------
* LlamaEdge version: v0.8.1 and above
* Prompt template
+ Prompt type: 'gemma-instruct'
+ Prompt string
* Context size: '2048'
* Run as LlamaEdge ser... | [] | [
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32
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/grimulkan/Euryale-1.3-longLORA-70b-rope8-32k-fp16
<!-- provided-files -->
static quants are available at https://huggingface.co/mrad... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "grimulkan/Euryale-1.3-longLORA-70b-rope8-32k-fp16", "quantized_by": "mradermacher"} | mradermacher/Euryale-1.3-longLORA-70b-rope8-32k-fp16-i1-GGUF | null | [
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"gguf",
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"base_model:grimulkan/Euryale-1.3-longLORA-70b-rope8-32k-fp16",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T07:42:37+00:00 | [] | [
"en"
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] | [
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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": []} | baris-yazici/binary_liar_bigscience_bloomz-560m_PROMPT_TUNING_CAUSAL_LM | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mihaj/whisper-medium-karelian | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# meditron-7b-dpo-full-wo-medication_qa-ep3
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/ep... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b-dpo-full-wo-medication_qa-ep3", "results": []}]} | Minbyul/meditron-7b-dpo-full-wo-medication_qa-ep3 | null | [
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| meditron-7b-dpo-full-wo-medication\_qa-ep3
==========================================
This model is a fine-tuned version of epfl-llm/meditron-7b on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5850
* Rewards/chosen: -0.2075
* Rewards/rejected... | [
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token-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": []} | xilpam/v_1_test_2_layoutlm-funsd-tf | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": []} | Bonnieyf/gemma-getac-Finetune-demo | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | bakch92/roberta_peft | null | [
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image-to-text | transformers |
# vit-small-patch16-224-turkish-small-bert-uncased
This vision encoder-decoder model utilizes the [WinKawaks/vit-small-patch16-224](https://huggingface.co/WinKawaks/vit-small-patch16-224) as the encoder and [ytu-ce-cosmos/turkish-small-bert-uncased](https://huggingface.co/ytu-ce-cosmos/turkish-small-bert-uncased) as ... | {"language": ["tr"], "license": "apache-2.0", "library_name": "transformers", "tags": ["image-to-text", "image-captioning"], "datasets": ["atasoglu/flickr8k-turkish"], "metrics": ["rouge"], "pipeline_tag": "image-to-text"} | atasoglu/vit-small-patch16-224-turkish-small-bert-uncased | null | [
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|
# vit-small-patch16-224-turkish-small-bert-uncased
This vision encoder-decoder model utilizes the WinKawaks/vit-small-patch16-224 as the encoder and ytu-ce-cosmos/turkish-small-bert-uncased as the decoder, and it has been fine-tuned on the flickr8k-turkish dataset to generate image captions in Turkish.
## Usage
| [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - marco-schouten/textual_inversion_psyduck
These are textual inversion adaption... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | marco-schouten/textual_inversion_psyduck | null | [
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|
# Textual inversion text2image fine-tuning - marco-schouten/textual_inversion_psyduck
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide ... | [
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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": []} | rwh/m1_20240410_080409 | 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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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
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