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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": []} | JustAFool/wav2vec2-vi-53 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-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. -->
# distilbert-base-uncased-disaster-twitter
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-disaster-twitter", "results": []}]} | JiaJiaCen/distilbert-base-uncased-disaster-twitter | null | [
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| distilbert-base-uncased-disaster-twitter
========================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3741
* F1: 0.8122
Model description
-----------------
More information needed
... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | ajunravi/distilgpt2-finetuned-wikitext2 | null | [
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|
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamet... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-100epochs-LoRA-FreedomIntelligence-indo
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sharded]... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-100epochs-LoRA-FreedomIntelligence-indo", "results": []}]} | hanifsyarubany10/mistral-7b-100epochs-LoRA-FreedomIntelligence-indo-1e-3 | null | [
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# mistral-7b-100epochs-LoRA-FreedomIntelligence-indo
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed... | [
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null | null | # Model Card for *MineDreamer* 🔥
<!-- Provide a quick summary of what the model is/does. -->
[](https://arxiv.org/abs/2403.12037)
[![project page](https://img.shields.io/badge/Play%20with%20MineDreamer%21-MineDreamer%20project%20page-lightblue... | {"language": ["en", "zh"], "license": "apache-2.0"} | Zhoues/Pretrained-QFormer-7B | null | [
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 and diffusion models!
<p align="center">
<img src="URL width=93%>
<p>
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v3
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v3 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`huggy_dor... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a TOK emoji dressed as an easter bunny", ... | linoyts/huggy_dora_edm_v3 | null | [
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|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v3
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v3 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw4.8 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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sentence-similarity | sentence-transformers |
# peulsilva/phrase-bert-setfit-50shots-ADE_CORPUS
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)
... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | peulsilva/phrase-bert-setfit-50shots-ADE_CORPUS | null | [
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|
# peulsilva/phrase-bert-setfit-50shots-ADE_CORPUS
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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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": []} | devbuzz142/cp04-pretrain-gpt2-ALL-NNN4-split | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-neo-125m-cs-finetuning-70000-2
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-70000-2", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-70000-2 | null | [
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| gpt-neo-125m-cs-finetuning-70000-2
==================================
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: 3.1842
Model description
-----------------
More information needed
Intended uses & limitatio... | [
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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"} | siva1777/catfight | null | [
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# Model Card for Model ID
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### Model Description
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### Model Sources [optional]
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dental_classification_model_010424_1
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "dental_classification_model_010424_1", "results": []}]} | vishnu027/dental_classification_model_010424_1 | null | [
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| dental\_classification\_model\_010424\_1
========================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5468
* Accuracy: 0.8293
Model description
-----------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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": []} | jisukim8873/mistral-7B-alpaca-case-3-3 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-large_ActionRecognition
This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/v... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "MCG-NJU/videomae-large", "model-index": [{"name": "videomae-large_ActionRecognition", "results": []}]} | Chaitanya798800/videomae-large_ActionRecognition | null | [
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|
# videomae-large_ActionRecognition
This model is a fine-tuned version of MCG-NJU/videomae-large on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0503
- eval_confusion_matrix: {'confusion_matrix': array([[14, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 12, 0, 0, ... | [
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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"} | bibhudutta/mistral7b_lora8_epochs3_snIAST_enLatin | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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. -->
# finetuned-Git-base-pokemon-blip-captions-ImageCaptioning
This model is a fine-tuned version of [microsoft/git-base](https://hugg... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/git-base", "model-index": [{"name": "finetuned-Git-base-pokemon-blip-captions-ImageCaptioning", "results": []}]} | JinbiaoZhu/finetuned-Git-base-pokemon-blip-captions-ImageCaptioning | null | [
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|
# finetuned-Git-base-pokemon-blip-captions-ImageCaptioning
This model is a fine-tuned version of microsoft/git-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
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text-generation | transformers |
## Use At your own Risk!
4bit gptq (marlin) version of dbrx-base-converted-v2
Version: 2 (much better quantization/calibration than previous)
Run:
1. Use PR https://github.com/AutoGPTQ/AutoGPTQ/pull/625
2. Need ~68GB of VRAM (1xA100 80G will do)
3. Use combine_tensors.sh script to combine the two split files into o... | {} | LnL-AI/dbrx-base-converted-v2-4bit-gptq-marlin-v2 | null | [
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|
## Use At your own Risk!
4bit gptq (marlin) version of dbrx-base-converted-v2
Version: 2 (much better quantization/calibration than previous)
Run:
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2. Need ~68GB of VRAM (1xA100 80G will do)
3. Use combine_tensors.sh script to combine the two split files into one. HF has max 50GB file size limit.
TO... | [
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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": []} | lxsure/Sniper_21 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-100epochs-LoRA-FreedomIntelligence-indo-2e-4
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sha... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-100epochs-LoRA-FreedomIntelligence-indo-2e-4", "results": []}]} | hanifsyarubany10/mistral-7b-100epochs-LoRA-FreedomIntelligence-indo-2e-4 | null | [
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|
# mistral-7b-100epochs-LoRA-FreedomIntelligence-indo-2e-4
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw5 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama2_finetuned_chatbot_Rahul_R_D
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "llama2_finetuned_chatbot_Rahul_R_D", "results": []}]} | SNV/llama2_finetuned_chatbot_Rahul_R_D | null | [
"tensorboard",
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"region:us"
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#tensorboard #generated_from_trainer #region-us
|
# llama2_finetuned_chatbot_Rahul_R_D
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-chinese-ner
This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an ... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-chinese", "model-index": [{"name": "bert-base-chinese-ner", "results": []}]} | sanxialiuzhan/bert-base-chinese-ner | null | [
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| bert-base-chinese-ner
=====================
This model is a fine-tuned version of bert-base-chinese on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0378
* Precision: 0.9227
* Recall: 0.9195
* F1: 0.9211
* Accuracy: 0.9910
Model description
-----------------
More informa... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment29Experiment24-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment29Experiment24-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment29Experiment24-7B](https://huggingface.co/automerger/Experiment29Experiment24-7B)
## Descrip... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment24-7B", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generat... | MaziyarPanahi/Experiment29Experiment24-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment29Experiment24-7B
## Description
MaziyarPanahi/Experiment29Experiment24-7B-GGUF contains GGUF format model files for automerger/Experiment29Experiment24-7B.
## How to use
Thanks to TheBloke for preparin... | [
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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": []} | Renato0402/whisper-large-v3-teste-med-full | 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": []} | Narkantak/mistral-7b-Labelled-QnAv2 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-gpo-iter2
This model is a fine-tuned version of [DUAL-GPO/zephyr-7b-gpo-iter1](https://huggingface.co/DUAL-GPO/zephyr-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-gpo-iter2", "results": []}]} | DUAL-GPO/zephyr-7b-gpo-iter2 | null | [
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| zephyr-7b-gpo-iter2
===================
This model is a fine-tuned version of DUAL-GPO/zephyr-7b-gpo-iter1 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0114
* Rewards/chosen: -0.0874
* Rewards/rejected: -0.0645
* Rewards/accuracies: 0.3940... | [
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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": []} | unrented5443/0zfm349 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # 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:
* [zzttbrdd/sn6_05s](https://huggingface.co/zz... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["zzttbrdd/sn6_05s", "coffiee/s26"]} | Sumail/Goat_Derrick17 | 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:
* zzttbrdd/sn6_05s
* coffiee/s26
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The following YAML configurati... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/dp002x3 | null | [
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|
# Model Card for Model ID
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- Shared by [optional]:
- Model type:
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text-generation | transformers |
# Uploaded model
- **Developed by:** akameswa
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | akameswa/mistral-7b-instruct-java-4bit | null | [
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|
# Uploaded model
- Developed by: akameswa
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
<div align="center">
<img src="https://huggingface.co/openbmb/Eurus-7b-sft/resolve/main/figures/Eurus-logo.png" width="200px">
**Eurus: A suit of open-source LLMs optimized for reasoning**
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
</div>
# Links
... | {"license": "apache-2.0", "tags": ["reasoning", "preference_learning", "kto"], "datasets": ["openbmb/UltraFeedback", "openbmb/UltraInteract_pair"], "pipeline_tag": "text-generation"} | openbmb/Eurus-7b-kto | null | [
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|
<div align="center">
<img src="URL width="200px">
Eurus: A suit of open-source LLMs optimized for reasoning
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw5.5 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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text-generation | transformers |
# !!!!!!!!!!!!!!!!!!!!!!!!!
# ДЕПРЕКЕЙТЕД ПОТОМУ ЧТО ТЕПЕРЬ ЕСТЬ https://huggingface.co/screamuch/kunteynir-lyrics-ruadapt_llama2_7b
# !!!!!!!!!!!!!!!!!!!!!!!!!
## Not For Any Audiences!!!
```
Чем я хуже лошади
Курю на красной площади
Тощий, как береза в роще
Варю щи
Сейчас в дрищи
Ищу пищу
Пищи как мышка
Кури шиш... | {"language": ["ru"], "license": "cc0-1.0", "library_name": "transformers"} | screamuch/kunteynir-no-blev-ruadapt_llama2_7b | null | [
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|
# !!!!!!!!!!!!!!!!!!!!!!!!!
# ДЕПРЕКЕЙТЕД ПОТОМУ ЧТО ТЕПЕРЬ ЕСТЬ URL
# !!!!!!!!!!!!!!!!!!!!!!!!!
## Not For Any Audiences!!!
### что это
ллама2 русская (rccmsu/ruadapt_llama2_7b_v0.1) натренированная на текстах группы kunteynir. забыл добавить текста блева (он на даче), вероятно позже натренькаю модель которая ... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment28T3q-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment28T3q-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment28T3q-7B](https://huggingface.co/automerger/Experiment28T3q-7B)
## Description
[MaziyarPanahi/Experiment28T3q-... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:chihoonlee10/T3Q-Mistral-Orca-Math-DPO", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", ... | MaziyarPanahi/Experiment28T3q-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment28T3q-7B
## Description
MaziyarPanahi/Experiment28T3q-7B-GGUF contains GGUF format model files for automerger/Experiment28T3q-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GG... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-depression-detection-hpc
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on th... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "roberta-depression-detection-hpc", "results": []}]} | almafaz/roberta-depression-detection-hpc | null | [
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"region:us"
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| roberta-depression-detection-hpc
================================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1689
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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null | null | this conatins dataset of cuss words in hindi | {"license": "apache-2.0"} | wpsadi/profanity | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T09:05:47+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
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null | transformers | ## About
static quants of https://huggingface.co/nbeerbower/Bophades-BruinsMaid-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Comm... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nbeerbower/Bophades-BruinsMaid-7B", "quantized_by": "mradermacher"} | mradermacher/Bophades-BruinsMaid-7B-GGUF | null | [
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] | null | 2024-04-01T09:08:41+00:00 | [] | [
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] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-nbeerbower/Bophades-BruinsMaid-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | 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"} | thanhduc1180/Llama-2-7b-summary | null | [
"peft",
"region:us"
] | null | 2024-04-01T09:10:15+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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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-finetuned-alpaca
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/T... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-finetuned-alpaca", "results": []}]} | Lonepan/mistral-finetuned-alpaca | null | [
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"safetensors",
"trl",
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"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.1-GPTQ",
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|
# mistral-finetuned-alpaca
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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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": ["unsloth", "trl", "sft"]} | Warit2/Gemma_Thai | 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 |
# Uploaded model
- **Developed by:** akameswa
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | akameswa/mistral-7b-instruct-go-4bit | null | [
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# Uploaded model
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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:
* [lxsure/Sniper_21](https://huggingface.co/lx... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["lxsure/Sniper_21", "zzttbrdd/sn6_00s"]} | Sumail/Goat_Derrick18 | 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:
* lxsure/Sniper_21
* zzttbrdd/sn6_00s
### Configuration
The following YAML config... | [
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text-generation | transformers |
**The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain len... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wenbopan/Fusang-v1", "wenbopan/OpenOrca-zh-20k"]} | blockblockblock/Faro-Yi-9B-200K-bpw6 | null | [
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| !image/webp
The Faro chat model focuses on practicality and long-context modeling. It handles various downstream tasks with higher quality, delivering stable and reliable results even when inputs contain lengthy documents or complex instructions. Faro seamlessly works in both English and Chinese.
Faro-Yi-9B
=======... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Mistral-7B-v0.1-layer-mix-bpw-2.2 | null | [
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| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-squad", "results": []}]} | Rahul13/bert-finetuned-squad | null | [
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|
# bert-finetuned-squad
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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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:
* [zzttbrdd/sn6_00s](https://huggingface.co/zz... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["zzttbrdd/sn6_00s", "zzttbrdd/sn6_05s"]} | Sumail/Goat_Derrick19 | 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:
* zzttbrdd/sn6_00s
* zzttbrdd/sn6_05s
### Configuration
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | justinlyli/pegasus_cnndailymail_3000 | 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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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. -->
# wav2vec2-large-xlsr-sw_ndizi_782_NF4-April-1
This model is a fine-tuned version of [smutuvi/wav2vec2-large-xlsr-sw-common-voice-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "smutuvi/wav2vec2-large-xlsr-sw-common-voice-16", "model-index": [{"name": "wav2vec2-large-xlsr-sw_ndizi_782_NF4-April-1", "results": []}]} | smutuvi/wav2vec2-large-xlsr-sw_ndizi_782_NF4-April-1 | null | [
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| wav2vec2-large-xlsr-sw\_ndizi\_782\_NF4-April-1
===============================================
This model is a fine-tuned version of smutuvi/wav2vec2-large-xlsr-sw-common-voice-16 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1139
* Wer: 0.9993
Model description
------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hendrydong/dpo_K8_max_max | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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null | peft |
# 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": "google/flan-t5-xxl"} | HeydarS/flan-t5-xxl_peft_v7 | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-google/flan-t5-xxl #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | IyanuMicheal/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T09:22:07+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 12345deena/LegalTokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T09:22:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | gilmark123/finetuning-sentiment-model-3000-samples | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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"... | [
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null | transformers | ## About
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_SFT
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Co... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberBrain_SFT", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_CyberBrain_SFT-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
<div align="center">
<img src="https://huggingface.co/openbmb/Eurus-7b-sft/resolve/main/figures/Eurus-logo.png" width="200px">
**Eurus: A suit of open-source LLMs optimized for reasoning**
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
</div>
# Links
... | {"license": "apache-2.0", "tags": ["reasoning"], "datasets": ["openbmb/UltraInteract_sft", "stingning/ultrachat", "openchat/openchat_sharegpt4_dataset", "Open-Orca/OpenOrca"], "pipeline_tag": "text-generation"} | openbmb/Eurus-70b-sft | null | [
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"arxiv:2404.02078",
"license:apache-2.0",
"autotrain_comp... | null | 2024-04-01T09:24:10+00:00 | [
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<div align="center">
<img src="URL width="200px">
Eurus: A suit of open-source LLMs optimized for reasoning
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
</div>
# Links
- Paper
- Eurus Collection
- UltraInteract
- SFT
- Preference Learning
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text-generation | transformers |
<div align="center">
<img src="https://huggingface.co/openbmb/Eurus-7b-sft/resolve/main/figures/Eurus-logo.png" width="200px">
**Eurus: A suit of open-source LLMs optimized for reasoning**
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
</div>
# Links
... | {"license": "apache-2.0", "tags": ["reasoning", "preference_learning", "nca"], "datasets": ["openbmb/UltraInteract_pair", "openbmb/UltraFeedback"], "pipeline_tag": "text-generation"} | openbmb/Eurus-70b-nca | null | [
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|
<div align="center">
<img src="URL width="200px">
Eurus: A suit of open-source LLMs optimized for reasoning
<p align="center">
<a href="#introduction"> Introduction</a> •
<a href="#evaluation">Evaluation</a>
</p>
</div>
# Links
- Paper
- Eurus Collection
- UltraInteract
- SFT
- Preference Learning
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-2-7B-layer-mix-bpw-2.2 | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-01T09:25:08+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-large_7class_UCFCrime
This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/vid... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "MCG-NJU/videomae-large", "model-index": [{"name": "videomae-large_7class_UCFCrime", "results": []}]} | Chaitanya798800/videomae-large_7class_UCFCrime | null | [
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"base_model:MCG-NJU/videomae-large",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
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|
# videomae-large_7class_UCFCrime
This model is a fine-tuned version of MCG-NJU/videomae-large on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.1295
- eval_confusion_matrix: {'confusion_matrix': array([[ 7, 0, 1, 1, 39, 4, 0],
[ 47, 42, 1, 0, 110,... | [
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text-to-image | null | # Art_pull_diffusion_cascade
This model is a fine-tuned of sotediffusion-cascade-decoder_pre-alpha0.
This model was trained on seven A5000 units during the LOCAL LLM Hackathon.
https://huggingface.co/Disty0/sotediffusion-cascade-decoder_pre-alpha0
| {"license": "other", "pipeline_tag": "text-to-image", "license_name": "stable-cascade-nc-community", "license_link": "LICENSE"} | gitpullpull/artpull_diffusion_cascade | null | [
"text-to-image",
"license:other",
"region:us"
] | null | 2024-04-01T09:26:52+00:00 | [] | [] | TAGS
#text-to-image #license-other #region-us
| # Art_pull_diffusion_cascade
This model is a fine-tuned of sotediffusion-cascade-decoder_pre-alpha0.
This model was trained on seven A5000 units during the LOCAL LLM Hackathon.
URL
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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": []} | Anusha64/NousResearch-7b-apr1 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lxsure/Sniper_22 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
# Textual inversion text2image fine-tuning - Yorick/sum_cap_dog
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | Yorick/sum_cap_dog | null | [
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|
# Textual inversion text2image fine-tuning - Yorick/sum_cap_dog
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-2-7B-layer-mix-bpw-3.0 | null | [
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"text-generation-inference",
"region:us"
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-to-image | diffusers |
# Custom Diffusion - SidXXD/test4crossattentionmap-all
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
For mo... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "custom-diffusion"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "photo of a <new1> dog", "inference": true} | SidXXD/test4crossattentionmap-all | null | [
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|
# Custom Diffusion - SidXXD/test4crossattentionmap-all
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using Custom Diffusion. You can find some example images in the following.
For more details on the training, please follow th... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | KorkmazKerem/gemma-2b-saban-v1 | null | [
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#transformers #safetensors #gemma #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- 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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [coffiee/s25](https://huggingface.co/coffiee/s25) as a base.
### Models Me... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/s25", "lxsure/Sniper_21", "coffiee/s26"]} | Sumail/Goat_Derrick20 | 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 TIES merge method using coffiee/s25 as a base.
### Models Merged
The following models were included in the merge:
* lxsure/Sniper_21
* coffiee/s26
### Configuration
The... | [
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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. -->
# t5-small-rte
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieve... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "t5-small", "model-index": [{"name": "t5-small-rte", "results": []}]} | docampo99/t5-small-rte | null | [
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| t5-small-rte
============
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6873
* Accuracy: 0.5740
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More ... | [
"### 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: 4",
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text-generation | transformers | # [MaziyarPanahi/AlloyingotneoyInex12-7B-GGUF](https://huggingface.co/MaziyarPanahi/AlloyingotneoyInex12-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/AlloyingotneoyInex12-7B](https://huggingface.co/automerger/AlloyingotneoyInex12-7B)
## Description
[MaziyarPan... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:MSL7/INEX12-7b", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inferen... | MaziyarPanahi/AlloyingotneoyInex12-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/AlloyingotneoyInex12-7B
## Description
MaziyarPanahi/AlloyingotneoyInex12-7B-GGUF contains GGUF format model files for automerger/AlloyingotneoyInex12-7B.
## How to use
Thanks to TheBloke for preparing an amazing REA... | [
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text-generation | transformers |
cyberAgent社の[calm2-7b](https://huggingface.co/calm2-7b) に対し、高品質なウェブ小説、青空文庫で構成されたおよそ3GBの厳選データセットでファインチューニングを施したモデルです。
以下の指示チューニングを活用し、生成される小説の方向性を調節することができます。
###指示：\n\n[キーワード：異世界転移、ファンタジー、異世界、魔法、シリアス]\n\n###出力:\n
または、小説の題名や作者の名前を指定することもできます。
###指示:\n\n[作品名:ウェストミンスター寺院], [作者:アーヴィングワシントン]\n\n###出力:\n
これらの指示は... | {"license": "mit", "datasets": ["globis-university/aozorabunko-clean"], "base_model": "calm2-7b"} | akineAItech/Noberai-7B-V001-2048-alpha | null | [
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|
cyberAgent社のcalm2-7b に対し、高品質なウェブ小説、青空文庫で構成されたおよそ3GBの厳選データセットでファインチューニングを施したモデルです。
以下の指示チューニングを活用し、生成される小説の方向性を調節することができます。
###指示：\n\n[キーワード：異世界転移、ファンタジー、異世界、魔法、シリアス]\n\n###出力:\n
または、小説の題名や作者の名前を指定することもできます。
###指示:\n\n[作品名:ウェストミンスター寺院], [作者:アーヴィングワシントン]\n\n###出力:\n
これらの指示は、各項目を空白にしても動作するように設計しています。少なくとも'[キー... | [
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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-small-hi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-hi", "results": []}]} | prerna0312/whisper-small-hi | null | [
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|
# whisper-small-hi
This model is a fine-tuned version of openai/whisper-small on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
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token-classification | transformers | #finer-distilbert
## Model description
**finer-distilbert** is a fine-tuned distilbert model trained on the task of **Named Entity Recognition**. It is a proof-of-concept model trained to recognize the top 4 entity types in the nlpaueb/finer-139 dataset. Due to limited time the model has not undergone any hyperparame... | {} | BroLaurens/finer-distilbert | null | [
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| #finer-distilbert
## Model description
finer-distilbert is a fine-tuned distilbert model trained on the task of Named Entity Recognition. It is a proof-of-concept model trained to recognize the top 4 entity types in the nlpaueb/finer-139 dataset. Due to limited time the model has not undergone any hyperparameter tuni... | [
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text-generation | transformers |
<br/><br/>
8bpw/h8 exl2 quantization of [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B) using [PIPPA](https://huggingface.co/datasets/royallab/PIPPA-cleaned) calibration dataset.
---
**ORIGINAL CARD:**
This is an experimental model I curr... | {"language": ["en"], "license": "apache-2.0", "tags": ["safetensors", "mistral", "not-for-all-audiences", "nsfw", "rp", "roleplay"], "pipeline_tag": "text-generation"} | JayhC/InfinityRP-v1-7B-8bpw-h8-exl2-rpcal | null | [
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|
<br/><br/>
8bpw/h8 exl2 quantization of Endevor/InfinityRP-v1-7B using PIPPA calibration dataset.
---
ORIGINAL CARD:
!example
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here for people to try if interested in this format.
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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. -->
# contenuto_contenitore_ITA
This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co... | {"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "Musixmatch/umberto-commoncrawl-cased-v1", "model-index": [{"name": "contenuto_contenitore_ITA", "results": []}]} | lupobricco/contenuto_contenitore_ITA | null | [
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| contenuto\_contenitore\_ITA
===========================
This model is a fine-tuned version of Musixmatch/umberto-commoncrawl-cased-v1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5303
* F1: 0.7432
* Roc Auc: 0.7832
* Accuracy: 0.6942
Model description
-----------------
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Narkantak/mistral-7b-Labelled-SLM | null | [
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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": []} | woojinheo/k-commerce-classification | null | [
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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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-to-image | diffusers | <style>
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|
.title-container {
display: flex;
justify-content: center;
align-items: center;
height: 100vh; /\* Adjust this value to position the title vertically \*/
}
.title {
font-size: 2.5em;
text-align: center;
color: #333;
font-family: 'Helvetica Neue', sans-serif;
text-transform: uppercase;
letter-spacing: 0.... | [
"### Tag Ordering\n\n\nFor optimal results, it's recommended to follow the structured prompt template because we train the model like this:",
"### Multi Aspect Resolution\n\n\nThis model supports generating images at the following dimensions:\n\n\n\nURL Setting\n-----------\n\n\n* Upscaler : 4x\\_NMKD-YandereNeoX... | [
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text-to-image | diffusers |
# Textual inversion text2image fine-tuning - Yorick/sum_cap_person
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | Yorick/sum_cap_person | null | [
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"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
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|
# Textual inversion text2image fine-tuning - Yorick/sum_cap_person
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
| [
"# Textual inversion text2image fine-tuning - Yorick/sum_cap_person\nThese are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in 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. -->
# serenity
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "serenity", "results": []}]} | Besciamella/serenity | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-01T09:51:25+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# serenity
This model is a fine-tuned version of mistralai/Mistral-7B-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
### Training hyperparameters
... | [
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"## Training and evaluation data\n\nMore information needed",
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["food101"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "my_awesome_food_model", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": ... | Terryue/my_awesome_food_model | null | [
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| my\_awesome\_food\_model
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the food101 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6473
* Accuracy: 0.895
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: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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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": []} | guptasaurabh78/mistral_b_finance_sg4 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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text-to-image | null |
# LoRA model of Collon Rin Purgatrio/コロン・リン・プルガトリオ (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?)
## What Is This?
This is the LoRA model of waifu Collon Rin Purgatrio/コロン・リン・プルガトリオ (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?).
## How Is It Trained?
* This model is trained with [kohya-ss/sd-scripts](https:... | {"license": "mit", "tags": ["art", "not-for-all-audiences"], "datasets": ["CyberHarem/collon_sukasuka", "BangumiBase/sukasuka"], "pipeline_tag": "text-to-image"} | CyberHarem/collon_sukasuka | null | [
"art",
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"text-to-image",
"dataset:CyberHarem/collon_sukasuka",
"dataset:BangumiBase/sukasuka",
"license:mit",
"region:us"
] | null | 2024-04-01T09:58:38+00:00 | [] | [] | TAGS
#art #not-for-all-audiences #text-to-image #dataset-CyberHarem/collon_sukasuka #dataset-BangumiBase/sukasuka #license-mit #region-us
| LoRA model of Collon Rin Purgatrio/コロン・リン・プルガトリオ (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?)
==================================================================================================
What Is This?
-------------
This is the LoRA model of waifu Collon Rin Purgatrio/コロン・リン・プルガトリオ (Shuumatsu Nani Shitema... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ankhamun/x0_xxco0x | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
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"endpoints_compatible",
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"region:us"
] | null | 2024-04-01T09:59:07+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers | **Updated and working model [here](https://huggingface.co/UnfilteredAI/NSFW-gen-v2)**
**Model Name:** NSFW-gen
**Type:** Text-to-Image Generator
**Description:** NSFW-gen is an text-to-image generator developed by UnfilteredAI. This model is designed to generate all kinds on images including explicit and NSFW (Not S... | {"language": ["en"], "license": "other", "library_name": "diffusers", "tags": ["NSFW", "UnfilteredAI", "not-for-all-audiences"], "base_model": "OEvortex/PixelGen", "pipeline_tag": "text-to-image"} | UnfilteredAI/NSFW-gen | null | [
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| Updated and working model here
Model Name: NSFW-gen
Type: Text-to-Image Generator
Description: NSFW-gen is an text-to-image generator developed by UnfilteredAI. This model is designed to generate all kinds on images including explicit and NSFW (Not Safe For Work) images from textual inputs.
Features:
- Uncensored O... | [] | [
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] |
text-to-image | diffusers | # Anna
<Gallery />
## Trigger words
You should use `12` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/leimu/1/tree/main) them in the Files & versions tab.
| {"license": "mit", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "11", "output": {"url": "images/202900-2505043907-detailed face,hires,detailed eyes,detailed hands,best hands,anime screencap,_ _lora_AnnaNishikinomiya_16XL_1_ shimoneta, anna_ni.jpeg"}}], "bas... | leimu/1 | null | [
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"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:ByteDance/SDXL-Lightning",
"license:mit",
"region:us"
] | null | 2024-04-01T10:06:18+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #license-mit #region-us
| # Anna
<Gallery />
## Trigger words
You should use '12' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-generation | transformers |
# RasGullaINEX12-7B-slerp
RasGullaINEX12-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [AbacusResearch/RasGulla1-7b](https://huggingface.co/AbacusResearch/RasGulla1-7b)
* [MSL7/INEX12-7b](https://huggingface.c... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "AbacusResearch/RasGulla1-7b", "MSL7/INEX12-7b"], "base_model": ["AbacusResearch/RasGulla1-7b", "MSL7/INEX12-7b"]} | allknowingroger/RasGullaINEX12-7B-slerp | null | [
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... | null | 2024-04-01T10:11:25+00:00 | [] | [] | TAGS
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|
# RasGullaINEX12-7B-slerp
RasGullaINEX12-7B-slerp is a merge of the following models using LazyMergekit:
* AbacusResearch/RasGulla1-7b
* MSL7/INEX12-7b
## Configuration
## Usage
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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. -->
# sst2_try
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an u... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "sst2_try", "results": []}]} | gilmark123/sst2_try | null | [
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] | null | 2024-04-01T10:12:43+00:00 | [] | [] | TAGS
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|
# sst2_try
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3467
- Accuracy: 0.8833
- F1: 0.8910
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training... | [
"# sst2_try\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.3467\n- Accuracy: 0.8833\n- F1: 0.8910",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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zero-shot-classification | transformers |
# Model description: deberta-v3-large-zeroshot-v2.0
## zeroshot-v2.0 series of models
Models in this series are designed for efficient zeroshot classification with the Hugging Face pipeline.
These models can do classification without training data and run on both GPUs and CPUs.
An overview of the latest zeroshot c... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["text-classification", "zero-shot-classification"], "base_model": "microsoft/deberta-v3-large", "pipeline_tag": "zero-shot-classification"} | MoritzLaurer/deberta-v3-large-zeroshot-v2.0 | null | [
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| Model description: deberta-v3-large-zeroshot-v2.0
=================================================
zeroshot-v2.0 series of models
------------------------------
Models in this series are designed for efficient zeroshot classification with the Hugging Face pipeline.
These models can do classification without traini... | [
"### Ideas for cooperation or questions?\n\n\nIf you have questions or ideas for cooperation, contact me at moritz{at}huggingface{dot}co or LinkedIn",
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text-generation | transformers |
## Model Summary
The language model Phi-1.5 is a Transformer with **1.3 billion** parameters. It was trained using the same data sources as [phi-1](https://huggingface.co/microsoft/phi-1), augmented with a new data source that consists of various NLP synthetic texts. When assessed against benchmarks testing common se... | {"language": ["en"], "license": "mit"} | voidful/phi-1_5_chat_32k | null | [
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## Model Summary
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v2
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`huggy_dor... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a TOK emoji dressed as an easter bunny", ... | linoyts/huggy_dora_edm_v2 | null | [
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# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v2
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v2 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers |
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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null | peft |
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # [MaziyarPanahi/Experiment29Multi_verse_model-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment29Multi_verse_model-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment29Multi_verse_model-7B](https://huggingface.co/automerger/Experiment29Multi_verse_m... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment29-7B", "base_model:ammarali32/multi_verse_model", "license:apache-2.0", "autotrain_compati... | MaziyarPanahi/Experiment29Multi_verse_model-7B-GGUF | null | [
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... | null | 2024-04-01T10:26:05+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Experiment29Multi_verse_model-7B
## Description
MaziyarPanahi/Experiment29Multi_verse_model-7B-GGUF contains GGUF format model files for automerger/Experiment29Multi_verse_model-7B.
## How to use
Thanks to T... | [
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text-to-image | diffusers |
# Custom Diffusion - SidXXD/test4crossattentionmap-mist-1
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
For... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "custom-diffusion"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "photo of a <new1> dog", "inference": true} | SidXXD/test4crossattentionmap-mist-1 | null | [
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# Custom Diffusion - SidXXD/test4crossattentionmap-mist-1
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using Custom Diffusion. You can find some example images in the following.
For more details on the training, please follow... | [
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summarization | peft | ## Intended Uses & Limitations
### Intended Uses
- **Text Summarization**: The primary intended use of this model is to generate concise and coherent text summaries.
### How to Use
To use this model for text summarization, you can follow these steps:
```python
from transformers import pipeline
summarizer = pipeli... | {"language": ["en"], "license": "mit", "library_name": "peft", "tags": ["summarization"], "datasets": ["EdinburghNLP/xsum"], "metrics": ["rouge"], "base_model": "Sushrut98/t5-small_finetuned_summarization", "pipeline_tag": "summarization"} | Sushrut98/t5-small_finetuned_summarization | null | [
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| ## Intended Uses & Limitations
### Intended Uses
- Text Summarization: The primary intended use of this model is to generate concise and coherent text summaries.
### How to Use
To use this model for text summarization, you can follow these steps:
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