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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": []} | masa-research/example-custom-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T09:53:00+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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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. -->
# GUE_mouse_2-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_mouse_2-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_16384_512_22M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T09:53:14+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_mouse\_2-seqsight\_16384\_512\_22M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5694
* F1 Score: 0.79... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Noodlz/IvanDrogo-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a we... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Noodlz/IvanDrogo-7B", "quantized_by": "mradermacher"} | mradermacher/IvanDrogo-7B-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-Noodlz/IvanDrogo-7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers |
<!-- 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. -->
# PolizzeDonut-CR-Cluster5di7-SenzaPre-3Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-CR-Cluster5di7-SenzaPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster5di7-SenzaPre-3Epochs | null | [
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"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T09:55:59+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# PolizzeDonut-CR-Cluster5di7-SenzaPre-3Epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder 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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"## Intended uses & limitations\n\nMore information needed",
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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. -->
# GUE_splice_reconstructed-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_16384_512_22M-L32_all | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_splice\_reconstructed-seqsight\_16384\_512\_22M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation... | [
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... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | phamthanhdung/merge_nsfw_rv51_latest | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"region:us"
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"1910.09700"
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers 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):
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... | [
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text-generation | transformers |
# Antler-7B-RP-v2
[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/Antler-7B-RP-v2-GGUF)
## 概要
[Elizezen/Antler-7B](https://huggingface.co/Elizezen/Antler-7B)をベースに、ロールプレイ用のデータセットを用いてLoRAでファインチューニングしたモデルです。
[Aratako/Antler-7B-RP](https://huggingface.co/Aratako/Antler-7B-RP)と少し学習データのフォーマットが違... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["grimulkan/LimaRP-augmented", "Aratako/Rosebleu-1on1-Dialogues-RP"], "base_model": ["Elizezen/Antler-7B"]} | Aratako/Antler-7B-RP-v2 | null | [
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"base_model:Elizezen/Antler-7B",
"license:apache-2.0",
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"te... | null | 2024-04-16T09:56:37+00:00 | [] | [
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|
# Antler-7B-RP-v2
GGUF版はこちら/Click here for the GGUF version
## 概要
Elizezen/Antler-7Bをベースに、ロールプレイ用のデータセットを用いてLoRAでファインチューニングしたモデルです。
Aratako/Antler-7B-RPと少し学習データのフォーマットが違っており、結果的にこのモデルはキャラのセリフだけでなく状況の描写なども以前のモデルより積極的に出力するようになっています。
## プロンプトフォーマット
Mistralのchat templateを利用してください。また、学習に利用したデータのフォーマットの関係上、以下のような形式が望ましい... | [
"# Antler-7B-RP-v2\nGGUF版はこちら/Click here for the GGUF version",
"## 概要\n\nElizezen/Antler-7Bをベースに、ロールプレイ用のデータセットを用いてLoRAでファインチューニングしたモデルです。\n\nAratako/Antler-7B-RPと少し学習データのフォーマットが違っており、結果的にこのモデルはキャラのセリフだけでなく状況の描写なども以前のモデルより積極的に出力するようになっています。",
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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. -->
# layoutLMv3-finetuned-confluence
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microso... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutLMv3-finetuned-confluence", "results": []}]} | mbs07/layoutLMv3-finetuned-confluence | null | [
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"token-classification",
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"base_model:microsoft/layoutlmv3-base",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T10:00:03+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #layoutlmv3 #token-classification #generated_from_trainer #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us
| layoutLMv3-finetuned-confluence
===============================
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1354
* Precision: 0.8992
* Recall: 0.9126
* F1: 0.9058
* Accuracy: 0.8578
Model description
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 5\n* eval\\_batch\\_size: 5\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 2500",
"### T... | [
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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. -->
# idefics2-8b-ocr-test
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idef... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-ocr-test", "results": []}]} | manu/idefics2-8b-ocr-test | null | [
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics2-8b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T10:00:40+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us
|
# idefics2-8b-ocr-test
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b 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 hyperpa... | [
"# idefics2-8b-ocr-test\n\nThis model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proce... | [
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null | 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. -->
# PolizzeDonut-CR-Cluster6di7-SenzaPre-3Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-CR-Cluster6di7-SenzaPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster6di7-SenzaPre-3Epochs | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T10:00:47+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# PolizzeDonut-CR-Cluster6di7-SenzaPre-3Epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder 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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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
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"صيانة غسالات - غسالات اطباق - ثلاجات - ديب فريزر - شاشات - ميكرويف",
"license:cc-by-nc-2.0",
"region:us"
] | null | 2024-04-16T10:02:21+00:00 | [] | [] | TAGS
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URL | [] | [
"TAGS\n#صيانة غسالات - غسالات اطباق - ثلاجات - ديب فريزر - شاشات - ميكرويف #license-cc-by-nc-2.0 #region-us \n"
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] |
text-classification | transformers | Binary causal sentence classification:
* LABEL_0 = Non-causal
* LABEL_1 = Causal
See the project repository here:
https://github.com/rasoulnorouzi/cessc/tree/main
| {"language": "en", "license": "gpl-3.0", "widget": [{"text": "In the beginning, Sonca seemed to have intensified rapidly since its formation , however, soon the storm weakened back to a minimal tropical storm because of dry air entering the LLCC that caused it to elongate and weaken.", "example_title": "Causal Example ... | rasoultilburg/ssc_bert | null | [
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"bert",
"text-classification",
"en",
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"en"
] | TAGS
#transformers #safetensors #bert #text-classification #en #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us
| Binary causal sentence classification:
* LABEL_0 = Non-causal
* LABEL_1 = Causal
See the project repository here:
URL
| [] | [
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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. -->
# ruBert-base-sberquad-0.02-len_3-filtered-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.c... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.02-len_3-filtered-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.02-len_3-filtered-v2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T10:04:17+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.02-len_3-filtered-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# ruBert-base-sberquad-0.02-len_3-filtered-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base 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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null | 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. -->
# PolizzeDonut-CR-Cluster7di7-SenzaPre-3Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-CR-Cluster7di7-SenzaPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster7di7-SenzaPre-3Epochs | null | [
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|
# PolizzeDonut-CR-Cluster7di7-SenzaPre-3Epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder 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-to-speech | null |
# 🍵 Matxa-TTS (Matcha-TTS) Catalan Multiaccent
## Table of Contents
<details>
<summary>Click to expand</summary>
- [Model description](#model-description)
- [Intended uses and limitations](#intended-uses-and-limitations)
- [How to use](#how-to-use)
- [Training](#training)
- [Evaluation](#evaluation)
- [Citation](#c... | {"language": ["ca"], "license": "cc-by-nc-4.0", "tags": ["matcha-tts", "acoustic modelling", "speech", "multispeaker", "tts"], "base_model": "BSC-LT/matcha-tts-cat-multispeaker", "pipeline_tag": "text-to-speech"} | projecte-aina/matxa-tts-cat-multiaccent | null | [
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| Matxa-TTS (Matcha-TTS) Catalan Multiaccent
==========================================
Table of Contents
-----------------
Click to expand
* Model description
* Intended uses and limitations
* How to use
* Training
* Evaluation
* Citation
* Additional information
Model Description
-----------------
Matxa-TTS i... | [
"### Installation\n\n\nModels have been trained using the espeak-ng open source text-to-speech software.\nThe espeak-ng containing the Catalan phonemizer can be found here\n\n\nCreate a virtual environment:\n\n\nFor training and synthesizing with Catalan Matxa-TTS you need to compile the provided espeak-ng with the... | [
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text-generation | transformers | # Mistral 2 Times
This is a merge of pre-trained language models created using merge techniques.
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2... | {"tags": ["merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.1", "mistralai/Mistral-7B-Instruct-v0.2"]} | Narkantak/Mistral-2x7b-Instruct-1x2 | null | [
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| # Mistral 2 Times
This is a merge of pre-trained language models created using merge techniques.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mistralai/Mistral-7B-Instruct-v0.2 as a base.
### Models Merged
The following models were included in the merge:
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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": []} | samyukthacodes/wellnessroots_merged | null | [
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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. -->
# Armemien Names to English Translation Model
## Model Overview
This translation model is specifically designed to accurately and... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "ihebaker10/spark-name-hy-to-en", "model-index": [{"name": "spark-name-hy-to-en", "results": []}]} | ihebaker10/spark-name-hy-to-en | null | [
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| Armemien Names to English Translation Model
===========================================
Model Overview
--------------
This translation model is specifically designed to accurately and fluently translate Armemien names and surnames into English.
Intended Uses and Limitations
-----------------------------
This mo... | [
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feature-extraction | transformers | # jina-website-1-64-16-BAAI_bge-small-en-v1.5-50_9062874564
## Model Description
jina-website-1-64-16-BAAI_bge-small-en-v1.5-50_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processin... | {} | florianhoenicke/jina-website-1-64-16-BAAI_bge-small-en-v1.5-50_9062874564 | null | [
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text-generation | transformers | <!-- header start -->
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null | pytorch |
# PVNet2
## Model Description
<!-- Provide a longer summary of what this model is/does. -->
This model class uses satellite data, numericl weather predictions, and recent Grid Service Point( GSP) PV power output to forecast the near-term (~8 hours) PV power output at all GSPs. More information can be found in t... | {"language": "en", "license": "mit", "library_name": "pytorch"} | openclimatefix/pvnet_uk_region | null | [
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# PVNet2
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
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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. -->
# GUE_tf_0-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_tf_0-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_16384_512_22M-L32_all | null | [
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"region:us"
] | null | 2024-04-16T10:15:29+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_tf\_0-seqsight\_16384\_512\_22M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5473
* F1 Score: 0.7211
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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": []} | hadifar/hal_l2 | null | [
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"safetensors",
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"arxiv:1910.09700",
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] | null | 2024-04-16T10:15:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-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"]} | kai-oh/mistral-7b-ift-tapt-v9-hf | 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]:
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- Model type:
- Language(s) (NLP):
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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. -->
# wav2vec2_lora
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/wav2vec2-base-960h", "model-index": [{"name": "wav2vec2_lora", "results": []}]} | Chijioke-Mgbahurike/wav2vec2_lora | null | [
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base-960h",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T10:16:28+00:00 | [] | [] | TAGS
#tensorboard #safetensors #generated_from_trainer #base_model-facebook/wav2vec2-base-960h #license-apache-2.0 #region-us
|
# wav2vec2_lora
This model is a fine-tuned version of facebook/wav2vec2-base-960h 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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text-generation | null |
**Deepsex-34b**
tks [TheBloke](https://huggingface.co/TheBloke) making quantized version!
gguf:https://huggingface.co/TheBloke/deepsex-34b-GGUF
exl2:https://huggingface.co/waldie/deepsex-34b-4bpw-h6-exl2
awq:https://huggingface.co/TheBloke/deepsex-34b-AWQ
6b base version:https://huggingface.co/TriadParty/deepsex-6b-b... | {"language": ["en"], "license": "mit", "tags": ["roleplay", "not-for-all-audiences"], "datasets": ["lemonilia/LimaRP", "PygmalionAI/PIPPA"], "pipeline_tag": "text-generation"} | Supradeku/Deepsex34BOriginalFp16 | null | [
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"en",
"dataset:lemonilia/LimaRP",
"dataset:PygmalionAI/PIPPA",
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"region:us"
] | null | 2024-04-16T10:17:54+00:00 | [] | [
"en"
] | TAGS
#roleplay #not-for-all-audiences #text-generation #en #dataset-lemonilia/LimaRP #dataset-PygmalionAI/PIPPA #license-mit #region-us
|
Deepsex-34b
tks TheBloke making quantized version!
gguf:URL
exl2:URL
awq:URL
6b base version:URL
6b chat version:URL
In fact, I plan to make a model of the "Seven Deadly Sins" series. Of course, the pre-training data used in these models are all human-produced data. I think the big model is like a mirror, reflecting... | [] | [
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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. -->
# icellama_domar_pretuned_v2
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Ll... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "icellama_domar_pretuned_v2", "results": []}]} | thorirhrafn/icellama_domar_pretuned_v2 | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-16T10:18:31+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #license-llama2 #region-us
| icellama\_domar\_pretuned\_v2
=============================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5311
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: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# GUE_tf_1-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_tf_1-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_16384_512_22M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T10:18:44+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_tf\_1-seqsight\_16384\_512\_22M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4917
* F1 Score: 0.7596
* Accu... | [
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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": []} | Vissa15AI/mistral_b_finance_finetuned_test | null | [
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|
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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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- Language(s) (NLP):
- License... | [
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null | null | Oxapam বড়ি রিভিউ কি?
Oxapam ক্যাপসুল পিলস একটি নেতৃস্থানীয় প্রাকৃতিক সম্পূরক হিসাবে দাঁড়িয়েছে যা তাদের পুনরুজ্জীবিত বৈশিষ্ট্যের জন্য পরিচিত ভেষজ নির্যাস, ভিটামিন এবং খনিজগুলির মিশ্রণ থেকে তৈরি। জীবনীশক্তি, সহনশীলতা এবং প্রাণশক্তিকে সমর্থন করার জন্য ডিজাইন করা হয়েছে, Oxapam ট্যাবলেট মূল্য শক্তির মাত্রা বাড়ানো এবং... | {"license": "apache-2.0"} | OxapamBangladesh/OxapamBangladesh | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T10:20:19+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Oxapam বড়ি রিভিউ কি?
Oxapam ক্যাপসুল পিলস একটি নেতৃস্থানীয় প্রাকৃতিক সম্পূরক হিসাবে দাঁড়িয়েছে যা তাদের পুনরুজ্জীবিত বৈশিষ্ট্যের জন্য পরিচিত ভেষজ নির্যাস, ভিটামিন এবং খনিজগুলির মিশ্রণ থেকে তৈরি। জীবনীশক্তি, সহনশীলতা এবং প্রাণশক্তিকে সমর্থন করার জন্য ডিজাইন করা হয়েছে, Oxapam ট্যাবলেট মূল্য শক্তির মাত্রা বাড়ানো এবং... | [] | [
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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. -->
# GUE_tf_4-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_tf_4-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_16384_512_22M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T10:24:04+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_tf\_4-seqsight\_16384\_512\_22M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8841
* F1 Score: 0.7136
* Accu... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="moebachar/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | moebachar/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# music-genre-classifer-20-finetuned-gtzan
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/f... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "music-genre-classifer-20-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "datas... | vadhri/wav2vec2-base-finetuned-gtzan | null | [
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| music-genre-classifer-20-finetuned-gtzan
========================================
This model is a fine-tuned version of facebook/wav2vec2-base on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1602
* Accuracy: 0.81
Model description
-----------------
More information neede... | [
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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": []} | wendy41/polyglot-12.8b_2step-causal-lm | 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:
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- Shared by [optional]:
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- Language(s) (NLP):
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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... | Yankovich/ppo-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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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": []} | yuhuixu/dpo_mistralai-Mistral-7B-Instruct-v0.2-experts | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
<!-- 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. -->
# PolizzeDonut-Resol964x1350-5Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/nave... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-Resol964x1350-5Epochs", "results": []}]} | tedad09/PolizzeDonut-Resol964x1350-5Epochs | null | [
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|
# PolizzeDonut-Resol964x1350-5Epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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null | 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_own_data
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingf... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_generation_own_data", "results": []}]} | abdullahfurquan/mistral_instruct_generation_own_data | null | [
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| mistral\_instruct\_generation\_own\_data
========================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4734
Model description
-----------------
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": ["trl", "dpo"]} | kai-oh/mistral-7b-dpo-v8-hf | null | [
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text-classification | transformers | Binary causal sentence classification:
* LABEL_0 = Non-causal
* LABEL_1 = Causal
See the project repository here:
https://github.com/rasoulnorouzi/cessc/tree/main
| {"language": "en", "license": "gpl-3.0", "widget": [{"text": "In the beginning, Sonca seemed to have intensified rapidly since its formation , however, soon the storm weakened back to a minimal tropical storm because of dry air entering the LLCC that caused it to elongate and weaken.", "example_title": "Causal Example ... | rasoultilburg/uce_scibert | null | [
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| Binary causal sentence classification:
* LABEL_0 = Non-causal
* LABEL_1 = Causal
See the project repository here:
URL
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/facebook-opt-350m-GPTQ-8bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
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![Twitter](URL
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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. -->
# lenate_model_10
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "lenate_model_10", "results": []}]} | lenate/lenate_model_10 | null | [
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| lenate\_model\_10
=================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1105
* Accuracy: 0.9640
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-generation | transformers |
# T3Q-LLM-solar10.8-sft-v1.0
## This model is a version of yanolja/EEVE-Korean-Instruct-10.8B-v1.0 that has been fine-tuned with SFT.
## Model Developers Chihoon Lee(chihoonlee10), T3Q
hf (pr... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["davidkim205/ko_common_gen"], "pipeline_tag": "text-generation", "base model": ["yanolja/EEVE-Korean-Instruct-10.8B-v1.0"]} | T3Q-LLM/T3Q-LLM-solar10.8-sft-v1.0 | null | [
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| !image/png
T3Q-LLM-solar10.8-sft-v1.0
==========================
This model is a version of yanolja/EEVE-Korean-Instruct-10.8B-v1.0 that has been fine-tuned with SFT.
-----------------------------------------------------------------------------------------------------
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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": []} | nuebaek/komt-mistral-mss | null | [
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #mistral #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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multiple-choice | 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-uncased-mcq
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-mcq", "results": []}]} | sahithya20/bert-base-uncased-mcq | null | [
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"multiple-choice",
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"base_model:bert-base-uncased",
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#transformers #tensorboard #safetensors #bert #multiple-choice #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| bert-base-uncased-mcq
=====================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0314
* Accuracy: 0.7284
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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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": []} | galbitang/polyglot | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T10:42:15+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.
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- Shared by [optional]:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ruBert-base-sberquad-0.02-len_3-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hugg... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.02-len_3-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.02-len_3-filtered-negative-v2 | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.02-len_3-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="moebachar/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | moebachar/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
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] | null | 2024-04-16T10:43:37+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
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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. -->
# GUE_tf_3-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_tf_3-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_16384_512_22M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T10:44:54+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_tf\_3-seqsight\_16384\_512\_22M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7363
* F1 Score: 0.6227
* Accu... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/facebook-opt-2.7b-GPTQ-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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sentence-similarity | sentence-transformers |
# hsikchi/dump2
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"} | hsikchi/dump2 | null | [
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|
# hsikchi/dump2
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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text-generation | transformers | FP32 version of original BF16 mistral safetensors.
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.1")
model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1", torch_dtype=torch.float)
model.save_p... | {"license": "apache-2.0"} | TeeZee/Mistral-7B-v0.1-fp32 | null | [
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| FP32 version of original BF16 mistral safetensors.
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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. -->
# GUE_tf_2-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_tf_2-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_16384_512_22M-L32_all | null | [
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| GUE\_tf\_2-seqsight\_16384\_512\_22M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8542
* F1 Score: 0.6699
* Accu... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/KoboldAI-OPT-2.7B-Erebus-GPTQ-8bit-smashed | null | [
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![Twitter](URL
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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": []} | Samuael/geez_t5-base-15k | null | [
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|
# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Test 7B
This is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [NousResearch/Nous-Hermes-llama-2-7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b)
* [NousResearch/Nous-Capybara-7B-V1](https://huggingface.co... | {"language": ["en"], "license": "llama2", "tags": ["merge", "mergekit", "lazymergekit", "NousResearch/Nous-Hermes-llama-2-7b", "NousResearch/Nous-Capybara-7B-V1"], "base_model": ["NousResearch/Nous-Hermes-llama-2-7b", "NousResearch/Nous-Capybara-7B-V1"]} | LTC-AI-Labs/Hermes-Capybara-7B-Test | null | [
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# Test 7B
This is a merge of the following models using LazyMergekit:
* NousResearch/Nous-Hermes-llama-2-7b
* NousResearch/Nous-Capybara-7B-V1
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/LlamaAdapter-llama2-happy-300-prompt | null | [
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|
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | Licwit/ppo-Huggy | null | [
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"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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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. -->
# GUE_prom_prom_300_tata-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_16384_512_34M-L32_all | null | [
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| GUE\_prom\_prom\_300\_tata-seqsight\_16384\_512\_34M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
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null | null | Use the ToolsBaer MSG to Office 365 Importer program to quickly and safely convert Outlook MSG to an Office 365 account." It is a stand-alone email importer solution that utilizes the latest developments in technology. The program that converts MSG files to Office 365 offers a complete solution to handling the email tr... | {} | madelineoliver/ToolsBaer-MSG-to-Office-365-Importer | null | [
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#region-us
| Use the ToolsBaer MSG to Office 365 Importer program to quickly and safely convert Outlook MSG to an Office 365 account." It is a stand-alone email importer solution that utilizes the latest developments in technology. The program that converts MSG files to Office 365 offers a complete solution to handling the email tr... | [] | [
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multiple-choice | 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": []} | sahithya20/bert-base-uncased | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
<!-- 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. -->
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/H... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-tutorial", "results": []}]} | Laveugnol/idefics2-8b-docvqa-finetuned-tutorial | null | [
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|
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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null | 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. -->
# GUE_prom_prom_300_notata-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_16384_512_34M-L32_all | null | [
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| GUE\_prom\_prom\_300\_notata-seqsight\_16384\_512\_34M-L32\_all
===============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the eval... | [
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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": []} | mookymook/blip-image-captioning-wikiart-mini-10epoch | 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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- Shared by [optional]:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_all-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_16384_512_34M-L32_all | null | [
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| GUE\_prom\_prom\_core\_all-seqsight\_16384\_512\_34M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
It achieves the following results on the evaluation... | [
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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. -->
# GUE_prom_prom_core_notata-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_16384_512_34M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_16384\_512\_34M-L32\_all
================================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the e... | [
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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-sentiment
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-sentiment", "results": []}]} | actaylor/distilbert-sentiment | null | [
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| distilbert-sentiment
====================
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: 0.2644
* Accuracy: 0.0677
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GPT_Neo_llmcs_clean
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-12... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "GPT_Neo_llmcs_clean", "results": []}]} | kaiheilauser/GPT_Neo_llmcs_clean | null | [
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| GPT\_Neo\_llmcs\_clean
======================
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: 2.2550
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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null | null |
# #Roleplay #Multimodal #Vision #Based #Unhinged #Unaligned #Uncensored
<!-- Alpaca -->
<!--
In this repository you can find **GGUF-IQ-Imatrix** quants for [Author/Model](https://huggingface.co/Author/Model) and if needed some basic SillyTavern presets to get started you can try these [here](https://huggingface.co/Le... | {"license": "other", "tags": ["gguf", "quantized", "roleplay", "multimodal", "vision", "llava", "sillytavern", "merge", "mistral", "conversational"], "inference": false} | Lewdiculous/Aura_v2_7B-GGUF-IQ-Imatrix | null | [
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# #Roleplay #Multimodal #Vision #Based #Unhinged #Unaligned #Uncensored
In this repository you can find GGUF-IQ-Imatrix quants for ResplendentAI/Aura_v2_7B which recommends using the ChatML prompt format. <br> Your feedback about this page or the model for the authors is appreciated in the Community tab.
> [!... | [
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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-samsum
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-samsum", "results": []}]} | qytzer/mistral-finetuned-samsum | null | [
"peft",
"tensorboard",
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"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.1-GPTQ",
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"region:us"
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|
# mistral-finetuned-samsum
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... | [
"# mistral-finetuned-samsum\n\nThis model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-generation | transformers | # Description
[MaziyarPanahi/home-AWQ](https://huggingface.co/MaziyarPanahi/home-AWQ) is a quantized (AWQ) version of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
## How to use
### Install the necessary packages
```
pip install --upgrade accelerate autoawq transformers
```
### Exam... | {"tags": ["finetuned", "quantized", "4-bit", "AWQ", "text-generation", "mixtral"], "model_name": "WizardLM-2-8x22B-AWQ", "base_model": "microsoft/WizardLM-2-8x22B", "inference": false, "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi"} | MaziyarPanahi/WizardLM-2-8x22B-AWQ | null | [
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] | null | 2024-04-16T11:06:56+00:00 | [] | [] | TAGS
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| # Description
MaziyarPanahi/home-AWQ is a quantized (AWQ) version of microsoft/WizardLM-2-8x22B
## How to use
### Install the necessary packages
### Example Python code
Results:
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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![Twitter](URL
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2_summarize
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generator... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2_summarize", "results": []}]} | deboramachadoandrade/phi-2_summarize | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-2 #license-mit #region-us
| phi-2\_summarize
================
This model is a fine-tuned version of microsoft/phi-2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7266
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ft-Llama2-with-stack-exchange-paired
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/met... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "ft-Llama2-with-stack-exchange-paired", "results": []}]} | yunus-emre/sft | null | [
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"generated_from_trainer",
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# ft-Llama2-with-stack-exchange-paired
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the umarigan/falcon_feedback_instraction_Turkish dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informatio... | [
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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": []} | vedant9034/H-model | null | [
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# Model Card for Model ID
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null | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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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. -->
# model_hh_shp3_dpo9
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp3_dpo9", "results": []}]} | guoyu-zhang/model_hh_shp3_dpo9 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_shp3\_dpo9
=====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.1377
* Rewards/chosen: -9.3962
* Rewards/rejected: -11.2598
* Rewards/accuracies: 0.5800
* Rewards/margins: 1.8636... | [
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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. -->
# GUE_prom_prom_core_tata-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_16384_512_34M-L32_all | null | [
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| GUE\_prom\_prom\_core\_tata-seqsight\_16384\_512\_34M-L32\_all
==============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluat... | [
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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. -->
# ft_wav2vec2_base_six_500
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "ft_wav2vec2_base_six_500", "results": []}]} | ImanNalia/ft_wav2vec2_base_six_500 | null | [
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| ft\_wav2vec2\_base\_six\_500
============================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2609
* Wer: 45.1739
* Cer: 21.0426
Model description
-----------------
More information needed
Intended... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zizoNa/nami | null | [
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# Model Card for Model ID
## Model Details
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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. -->
# mistralv1_spectral_r8_4e5_e3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_spectral_r8_4e5_e3", "results": []}]} | fangzhaoz/mistralv1_spectral_r8_4e5_e3 | null | [
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|
# mistralv1_spectral_r8_4e5_e3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Reza-Barati/distilbert-base-uncased-finetuned-for-Extracting-IoCs-cybersecurity
This model is a fine-tuned version of [distilbert-base... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "Reza-Barati/distilbert-base-uncased-finetuned-for-Extracting-IoCs-cybersecurity", "results": []}]} | Reza-Barati/distilbert-base-uncased-finetuned-for-Extracting-IoCs-cybersecurity | null | [
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| Reza-Barati/distilbert-base-uncased-finetuned-for-Extracting-IoCs-cybersecurity
===============================================================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: ... | [
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null | null | # jina-website-1-0-16-BAAI_bge-small-en-v1.5-50_9062874564
## Model Description
jina-website-1-0-16-BAAI_bge-small-en-v1.5-50_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing ... | {} | florianhoenicke/jina-website-1-0-16-BAAI_bge-small-en-v1.5-50_9062874564 | null | [
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#region-us
| # jina-website-1-0-16-BAAI_bge-small-en-v1.5-50_9062874564
## Model Description
jina-website-1-0-16-BAAI_bge-small-en-v1.5-50_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
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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. -->
# GUE_prom_prom_300_all-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_16384_512_34M-L32_all | null | [
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| GUE\_prom\_prom\_300\_all-seqsight\_16384\_512\_34M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation se... | [
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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": []} | fangzhaoz/mistralv1_spectral_r8_4e5_e3_merged | 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
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<!-- Provide a longer summary of what this model is. -->
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token-classification | transformers |
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, & Czech corpora (Top 7 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dataset: Uni... | {"language": ["tl"], "datasets": ["universal_dependencies"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | iceman2434/xlm-roberta-base-ft-udpos213-top7lang | null | [
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- Evaluation Dataset: Uni... | [
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token-classification | transformers |
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, & Urdu corpora (Top 6 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dataset: Universal ... | {"language": ["tl"], "datasets": ["universal_dependencies"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | iceman2434/xlm-roberta-base-ft-udpos213-top6lang | null | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SKNahin/nllb-bn-transliterator | 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 |
# 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": []} | Ni3-7pute/codegen-350M-mono-python-18k-claasp | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | Lora generating images in the Ambient occlusion style.
sd version : SD 1.5
You can use controlnet like Canny, lineart, Softedge, etc. to create Depth with just lineart.
Add 'ao, 3d' to the prompt.
The number after the Lora filename refers to the number of the merged lora.
![image/png](https://cdn-uploads.huggingf... | {} | toyxyz/Line2ao_sd1.5 | null | [
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#region-us
| Lora generating images in the Ambient occlusion style.
sd version : SD 1.5
You can use controlnet like Canny, lineart, Softedge, etc. to create Depth with just lineart.
Add 'ao, 3d' to the prompt.
The number after the Lora filename refers to the number of the merged lora.
!image/png
!image/png
<video controls ... | [] | [
"TAGS\n#region-us \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": []} | hi000000/insta_chat_lama2-koen | 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 |
# 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 Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# GUE_mouse_0-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_mouse_0-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_16384_512_34M-L32_all | null | [
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| GUE\_mouse\_0-seqsight\_16384\_512\_34M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1128
* F1 Score: 0.62... | [
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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. -->
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/H... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-tutorial", "results": []}]} | diack/idefics2-8b-docvqa-finetuned-tutorial | null | [
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|
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b 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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