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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. -->
# hw-slots-atis
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "hw-slots-atis", "results": []}]} | RaushanTurganbay/hw-slots-atis | null | [
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| hw-slots-atis
=============
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0054
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More info... | [
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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": []} | rislemy/Mistral-7b-inst-guanaco | null | [
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feature-extraction | transformers | # complete_9062874564
## Model Description
complete_9062874564 is a state-of-the-art embedding model designed to support various applications in natural language processing and understanding. It's built using the latest advancements in deep learning and natural language processing technologies to provide high-quality... | {} | florianhoenicke/complete_9062874564 | null | [
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| # complete_9062874564
## Model Description
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summarization | 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. -->
# mbart-large-50-finetuned-latest
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/... | {"license": "mit", "tags": ["summarization", "generated_from_trainer"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-large-50-finetuned-latest", "results": []}]} | october-sd/mbart-large-50-finetuned-latest | null | [
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| mbart-large-50-finetuned-latest
===============================
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4403
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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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. -->
# clasificador-muchocine
This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mr... | {"tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mrm8488/electricidad-base-discriminator", "model-index": [{"name": "clasificador-muchocine", "results": []}]} | l1rio/clasificador-muchocine | null | [
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] | null | 2024-04-05T16:38:28+00:00 | [] | [] | TAGS
#transformers #safetensors #electra #text-classification #classification #generated_from_trainer #base_model-mrm8488/electricidad-base-discriminator #autotrain_compatible #endpoints_compatible #region-us
| clasificador-muchocine
======================
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4583
* Accuracy: 0.4219
Model description
-----------------
More information needed
Intended uses ... | [
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text-to-image | diffusers | # oft_animagine-xl-3.0
<Gallery />
## Model description
OFT for animagine-xl-3.0
## Trigger words
You should use `pixiv` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/crodis/oft_animagine-xl-3.0/tree/main) them in the Files & version... | {"license": "apache-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "1girl,solo,masterpiece, best quality,upper body,in heat,winter,rain<lora:style_1130111_pixiv_T1:1.0>", "parameters": {"negative_prompt": "nsfw,loli,lowres, bad anatomy, bad hands, text,... | crodis/oft_animagine-xl-3.0 | null | [
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"stable-diffusion",
"lora",
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"base_model:cagliostrolab/animagine-xl-3.0",
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"region:us"
] | null | 2024-04-05T16:38:54+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.0 #license-apache-2.0 #region-us
| # oft_animagine-xl-3.0
<Gallery />
## Model description
OFT for animagine-xl-3.0
## Trigger words
You should use 'pixiv' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-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. -->
# clasificador-muchocine
This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mr... | {"tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mrm8488/electricidad-base-discriminator", "model-index": [{"name": "clasificador-muchocine", "results": []}]} | janfsalberto/clasificador-muchocine | null | [
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| clasificador-muchocine
======================
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4287
* Accuracy: 0.4284
Model description
-----------------
More information needed
Intended uses ... | [
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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. -->
# roberta-lg-cased-ms-ner-test
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an u... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "roberta-large", "model-index": [{"name": "roberta-lg-cased-ms-ner-test", "results": []}]} | nxaliao/roberta-lg-cased-ms-ner-test | null | [
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| roberta-lg-cased-ms-ner-test
============================
This model is a fine-tuned version of roberta-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1631
* Precision: 0.8047
* Recall: 0.8306
* F1: 0.8174
* Accuracy: 0.9660
Model description
-----------------
Mo... | [
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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. -->
# clasificador-muchocine
This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mr... | {"tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mrm8488/electricidad-base-discriminator", "model-index": [{"name": "clasificador-muchocine", "results": []}]} | egraciar/clasificador-muchocine | null | [
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| clasificador-muchocine
======================
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3778
* Accuracy: 0.3897
Model description
-----------------
More information needed
Intended uses ... | [
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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. -->
# clasificador-muchocine
This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mr... | {"tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mrm8488/electricidad-base-discriminator", "model-index": [{"name": "clasificador-muchocine", "results": []}]} | Rocio22/clasificador-muchocine | null | [
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| clasificador-muchocine
======================
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4251
* Accuracy: 0.4271
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner-conll2003
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner-conll2003", "results": []}]} | spyrok/bert-finetuned-ner-conll2003 | null | [
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"base_model:bert-base-cased",
"license:apache-2.0",
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| bert-finetuned-ner-conll2003
============================
This model is a fine-tuned version of bert-base-cased on the conll2003 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0653
* Precision: 0.9365
* Recall: 0.9512
* F1: 0.9438
* Accuracy: 0.9867
Model description
-----------------... | [
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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. -->
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-wikitext2", "results": []}]} | legal900428/distilroberta-base-finetuned-wikitext2 | null | [
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| distilroberta-base-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0001
Model description
-----------------
More information needed
Intended uses & limi... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_optm_idpo_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_iter_2](https://huggingface.co/ShenaoZhang/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_iter_2", "model-index": [{"name": "0.001_optm_idpo_iter_2", "results": []}]} | ShenaoZhang/0.001_optm_idpo_iter_2 | null | [
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... | null | 2024-04-05T16:44:33+00:00 | [] | [] | TAGS
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|
# 0.001_optm_idpo_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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text-generation | mlx |
# mlx-community/Qwen1.5-32B-4bit
This model was converted to MLX format from [`Qwen/Qwen1.5-32B`]().
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-32B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer ... | {"language": ["en"], "license": "other", "tags": ["pretrained", "mlx"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Qwen1.5-32B-4bit | null | [
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"en",
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"region:us"
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] | TAGS
#mlx #safetensors #qwen2 #pretrained #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Qwen1.5-32B-4bit
This model was converted to MLX format from ['Qwen/Qwen1.5-32B']().
Refer to the original model card for more details on the model.
## Use with mlx
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "google/flan-t5-small"} | HeydarS/flant5_EQ_peft_v1 | null | [
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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. -->
# hw-intent-atis
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) o... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "hw-intent-atis", "results": []}]} | RaushanTurganbay/hw-intent-atis | null | [
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| hw-intent-atis
==============
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 13.3164
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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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": ["llama-factory"]} | RayBernard/llama2_7b_ft_vastdata | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Uploaded model
- **Developed by:** funnyNeurons
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | funnyNeurons/gemma_7b | null | [
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|
# Uploaded model
- Developed by: funnyNeurons
- License: apache-2.0
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<img src="URL width="200"/>
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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. -->
# en_vi_mt5-base_half_doc_news_train
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "en_vi_mt5-base_half_doc_news_train", "results": []}]} | yuufong/en_vi_mt5-base_half_doc_news_train | null | [
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|
# en_vi_mt5-base_half_doc_news_train
This model is a fine-tuned version of google/mt5-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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### Training hyp... | [
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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. -->
# uniBERT.RoBERTa.2
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "uniBERT.RoBERTa.2", "results": []}]} | dbala02/uniBERT.RoBERTa.2 | null | [
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| uniBERT.RoBERTa.2
=================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5630
* Accuracy: (0.5576407506702413,)
* F1: (0.5567150966762268,)
* Precision: (0.5821362469913879,)
* Recall: 0.5576
Model d... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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text-generation | transformers |
# Myriad-7B-Slerp
Myriad-7B-Slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [MaziyarPanahi/Calme... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit", "MaziyarPanahi/Calme-7B-Instruct-v0.9", "yam-peleg/Experiment26-7B"], "base_model": ["MaziyarPanahi/Calme-7B-Instruct-v0.9", "yam-peleg/Experiment26-7B"]} | Muhammad2003/Myriad-7B-Slerp | null | [
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"base_model:yam-peleg/Experiment26-7B",
"license:cc-by-nc-4.0",
"autotrain... | null | 2024-04-05T16:55:50+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #MaziyarPanahi/Calme-7B-Instruct-v0.9 #yam-peleg/Experiment26-7B #base_model-MaziyarPanahi/Calme-7B-Instruct-v0.9 #base_model-yam-peleg/Experiment26-7B #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generat... | Myriad-7B-Slerp
===============
!image/png
Myriad-7B-Slerp is a merge of the following models using LazyMergekit:
* MaziyarPanahi/Calme-7B-Instruct-v0.9
* yam-peleg/Experiment26-7B
Special thanks to Charles Goddard for the quick implementation!
Configuration
-------------
Usage
-----
Evaluation
----------
| [] | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-skinpics
This model is a fine-tuned version of [google/vit-base-patch16-224-in21K](https://huggingface.co/google/vit-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21K", "model-index": [{"name": "finetuned-skinpics", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name":... | vlevi/finetuned-skinpics | null | [
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"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:58:02+00:00 | [] | [] | TAGS
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| finetuned-skinpics
==================
This model is a fine-tuned version of google/vit-base-patch16-224-in21K on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2540
* Accuracy: 0.5139
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 7",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/moondriller/anarchy-llama2-13B-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "library_name": "transformers", "base_model": "moondriller/anarchy-llama2-13B-v2", "quantized_by": "mradermacher"} | mradermacher/anarchy-llama2-13B-v2-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-moondriller/anarchy-llama2-13B-v2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | peft |
<!-- 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. -->
# hyperparam-rust-lora-32-3-epoch
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "deepseek-ai/deepseek-coder-1.3b-base", "model-index": [{"name": "hyperparam-rust-lora-32-3-epoch", "results": []}]} | ysr/hyperparam-rust-lora-32-3-epoch | null | [
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"base_model:deepseek-ai/deepseek-coder-1.3b-base",
"license:other",
"region:us"
] | null | 2024-04-05T16:59:37+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-deepseek-ai/deepseek-coder-1.3b-base #license-other #region-us
| hyperparam-rust-lora-32-3-epoch
===============================
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4542
Model description
-----------------
More information needed
Intended uses... | [
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null | null | Vascalin : Viên thuốc-Giá bán-đánh giá-Lợi ích- Giá cả- nguyên bản-Phản ứng phụ-Nơi để mua- thành phần
Trong một thế giới mà việc duy trì sức khỏe tối ưu là ưu tiên hàng đầu, Vascalin Viên thuốc nổi lên như một chất bổ sung đầy hứa hẹn nhằm hỗ trợ sức khỏe tĩnh mạch. Hãy cùng tìm hiểu sâu hơn về Vascalin viên con nhộn... | {} | Vascalin/VascalinVietnam | null | [
"region:us"
] | null | 2024-04-05T17:00:21+00:00 | [] | [] | TAGS
#region-us
| Vascalin : Viên thuốc-Giá bán-đánh giá-Lợi ích- Giá cả- nguyên bản-Phản ứng phụ-Nơi để mua- thành phần
Trong một thế giới mà việc duy trì sức khỏe tối ưu là ưu tiên hàng đầu, Vascalin Viên thuốc nổi lên như một chất bổ sung đầy hứa hẹn nhằm hỗ trợ sức khỏe tĩnh mạch. Hãy cùng tìm hiểu sâu hơn về Vascalin viên con nhộn... | [] | [
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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": []} | gkambasta/gkambasta | null | [
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"text-generation",
"arxiv:1910.09700",
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"1910.09700"
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|
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-32
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/m... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-32", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-32 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-05T17:05:29+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-32
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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null | transformers |
# Uploaded model
- **Developed by:** TheHappyDrone
- **License:** apache-2.0
- **Finetuned from model :** TheHappyDrone/Uoxudo_16bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "TheHappyDrone/Uoxudo_16bit"} | TheHappyDrone/Uoxudo_Ollama | null | [
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|
# Uploaded model
- Developed by: TheHappyDrone
- License: apache-2.0
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<img src="URL width="200"/>
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | Shiv-Pal/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1753
* Accuracy: 0.93
* F1: 0.9302
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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": []} | Grayx/unstable_45 | null | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-v2-lr-2e-6-margin-1-epoch-1
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 (Senten... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-v2-lr-2e-6-margin-1-epoch-1 | null | [
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# luiz-and-robert-thesis/all-mpnet-base-v2-lr-2e-6-margin-1-epoch-1
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 ha... | [
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null | transformers |
# c4ai-command-r-v01-japanese-instruct-GGUF
## 概要
[Aratako/c4ai-command-r-v01-japanese-instruct](https://huggingface.co/Aratako/c4ai-command-r-v01-japanese-instruct)の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | {"language": ["ja", "en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "base_model": ["CohereForAI/c4ai-command-r-v01"]} | Aratako/c4ai-command-r-v01-japanese-instruct-GGUF | null | [
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# c4ai-command-r-v01-japanese-instruct-GGUF
## 概要
Aratako/c4ai-command-r-v01-japanese-instructの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | [
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text-to-image | diffusers | # oft_kohakuXLDelta_rev1
<Gallery />
## Model description
OFT for kohakuXLDelta_rev1
kohakuXLDelta_rev1: https://civitai.com/models/332076/kohaku-xl-delta
## Trigger words
You should use `pixiv` to trigger the image generation.
## Download model
Weights for this model are available i... | {"license": "apache-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "1girl,fuzichoco, ask \\(askzy\\),masterpiece, newest, absurdres, solo,dragon wings, tail, horns, solo, antlers, pointy ears, japanese clothes, side slit, long hair, two side up, bangs,... | crodis/oft_kohakuXLDelta_rev1 | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-eienmojiki/Kohaku-XL-Delta #license-apache-2.0 #region-us
| # oft_kohakuXLDelta_rev1
<Gallery />
## Model description
OFT for kohakuXLDelta_rev1
kohakuXLDelta_rev1: https://URL/models/332076/kohaku-xl-delta
## Trigger words
You should use 'pixiv' to trigger the image generation.
## Download model
Weights for this model are available in Safete... | [
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image-classification | timm | # Model card for rdnet_tiny.nv_in1k
A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Imagenet-1k validation top-1 accuracy: 82.8%
- Params (M): 24
- GMACs: 5.0
- Image size:... | {"license": "bsd-3-clause", "library_name": "timm", "tags": ["image-classification", "timm", "rdnet"], "datasets": ["imagenet-1k"]} | naver-ai/rdnet_tiny.nv_in1k | null | [
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| # Model card for rdnet_tiny.nv_in1k
A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- Model Type: Image classification / feature backbone
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- Params (M): 24
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image-classification | timm | # Model card for rdnet_small.nv_in1k
A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Imagenet-1k validation top-1 accuracy: 83.7%
- Params (M): 50
- GMACs: 8.7
- Image size... | {"license": "bsd-3-clause", "library_name": "timm", "tags": ["image-classification", "timm", "rdnet"], "datasets": ["imagenet-1k"]} | naver-ai/rdnet_small.nv_in1k | null | [
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A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
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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. -->
# checkpoint-10000-finetuned-ner
This model was trained from scratch on an unknown dataset.
It achieves the following results on t... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "checkpoint-10000-finetuned-ner", "results": []}]} | OminousDude/checkpoint-10000-finetuned-ner | null | [
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| checkpoint-10000-finetuned-ner
==============================
This model was trained from scratch on an unknown dataset.
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* Precision: 0.7371
* Recall: 0.7711
* F1: 0.7537
* Accuracy: 0.9457
Model description
-----------------
More informati... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** unslothai
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | unslothai/06042024 | null | [
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# Uploaded model
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- License: apache-2.0
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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. -->
# roberta-lg-cased-ms-ner-full
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an u... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-large", "model-index": [{"name": "roberta-lg-cased-ms-ner-full", "results": []}]} | nxaliao/roberta-lg-cased-ms-ner-full | null | [
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|
# roberta-lg-cased-ms-ner-full
This model is a fine-tuned version of roberta-large 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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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - XeroTech/maayaoberoi_bgremoved_LoRA
<Gallery />
## Model description
These are XeroTech/maayao... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of maayaoberoi w... | XeroTech/maayaoberoi_bgremoved_LoRA | null | [
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] | null | 2024-04-05T17:22:58+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - XeroTech/maayaoberoi_bgremoved_LoRA
<Gallery />
## Model description
These are XeroTech/maayaoberoi_bgremoved_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE ... | [
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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. -->
# Deliverde-T1
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mist... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "Deliverde-T1", "results": []}]} | Santiagodf19/Deliverde-T1 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-05T17:23:00+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| Deliverde-T1
============
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3112
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\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=... | [
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null | transformers |
# ggerganov/gemma-2b-Q8_0-GGUF
This model was converted to GGUF format from [`google/gemma-2b`](https://huggingface.co/google/gemma-2b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/google/gemma-2b)... | {"license": "gemma", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged... | ggerganov/gemma-2b-Q8_0-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T17:23:09+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #license-gemma #endpoints_compatible #region-us
|
# ggerganov/gemma-2b-Q8_0-GGUF
This model was converted to GGUF format from 'google/gemma-2b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also... | [
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... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | gkambasta/gkambasta1 | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T17:24:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-40
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/m... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-40", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-40 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-05T17:25:12+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-40
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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text-generation | mlx |
# mlx-community/Qwen1.5-32B-8bit
This model was converted to MLX format from [`Qwen/Qwen1.5-32B`]().
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-32B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer ... | {"language": ["en"], "license": "other", "tags": ["pretrained", "mlx"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Qwen1.5-32B-8bit | null | [
"mlx",
"safetensors",
"qwen2",
"pretrained",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-05T17:33:02+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #qwen2 #pretrained #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Qwen1.5-32B-8bit
This model was converted to MLX format from ['Qwen/Qwen1.5-32B']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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] |
null | mlx |
# mlx-community/pandafish-dt-7b-4bit
This model was converted to MLX format from [`ichigoberry/pandafish-2-7b-32k`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/ichigoberry/pandafish-2-7b-32k) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-Instruct-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02", "mlx"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | mlx-community/pandafish-dt-7b-4bit | null | [
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"mistral",
"merge",
"mergekit",
"lazymergekit",
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"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"license:apache-2.0",
... | null | 2024-04-05T17:33:17+00:00 | [] | [] | TAGS
#mlx #safetensors #mistral #merge #mergekit #lazymergekit #mistralai/Mistral-7B-Instruct-v0.2 #cognitivecomputations/dolphin-2.8-mistral-7b-v02 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #license-apache-2.0 #region-us
|
# mlx-community/pandafish-dt-7b-4bit
This model was converted to MLX format from ['ichigoberry/pandafish-2-7b-32k']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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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... | TimotheeW/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-05T17:35:35+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | null |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
| {"license": "cc-by-nc-4.0", "title": "OutfitAnyone", "emoji": "\ud83c\udfe2", "colorFrom": "red", "colorTo": "pink", "sdk": "gradio", "sdk_version": "4.8.0", "app_file": "app.py", "pinned": false} | Shubhvedi/outfit_anyone | null | [
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-05T17:35:40+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
Check out the configuration reference at URL
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fill-mask | 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": []} | Milad1b/MLM_snodis_dis_descreption_epochs-5 | null | [
"transformers",
"safetensors",
"distilbert",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T17:35:48+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #distilbert #fill-mask #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.
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- License... | [
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text-generation | transformers |
## Llamacpp Quantizations of h2o-danube2-1.8b-chat
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2589">b2589</a> for quantization.
Original model: https://huggingface.co/h2oai/h2o-danube2-1.8b-chat
Download a file (not the... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/h2o-danube2-1.8b-chat-GGUF | null | [
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"large language model",
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| Llamacpp Quantizations of h2o-danube2-1.8b-chat
-----------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL
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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. -->
# test-model-training
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "test-model-training", "results": []}]} | jantigny/test-model-training | null | [
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| test-model-training
===================
This model is a fine-tuned version of distilbert/distilgpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 6.1286
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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": []} | abhaygssl/medical_q_and_a | null | [
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## Model Details
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null | transformers |
# Uploaded model
- **Developed by:** katkout2313
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | katkout2313/lora_modelFinal | null | [
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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. -->
# impact-cat-secbert
This model is a fine-tuned version of [ehsanaghaei/SecureBERT](https://huggingface.co/ehsanaghaei/SecureBERT)... | {"license": "bigscience-openrail-m", "tags": ["generated_from_trainer", "cybersecurity"], "metrics": ["accuracy"], "base_model": "ehsanaghaei/SecureBERT", "widget": [{"text": "This flaw allows an attacker who has access to a virtual machine guest on a node with DownwardMetrics enabled to cause a denial of service."}], ... | conflick0/impact-cat-secbert | null | [
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| impact-cat-secbert
==================
This model is a fine-tuned version of ehsanaghaei/SecureBERT on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1585
* Accuracy: 0.9434
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
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text-to-image | transformers |
# LoRAniDiff Model Card
## Model Details
- **Model Name**: LoRAniDiff
- **Model Type**: This model is based on the stable diffusion architecture, fine-tuned with LoRA (Low-Rank Adaptation) for targeted improvements.
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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. -->
# stablelm-2-1_6b-orpo-full-v1
This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilit... | {"license": "other", "tags": ["alignment-handbook", "trl", "orpo", "generated_from_trainer", "trl", "orpo", "generated_from_trainer"], "datasets": ["alvarobartt/dpo-mix-7k-simplified"], "base_model": "stabilityai/stablelm-2-1_6b", "model-index": [{"name": "stablelm-2-1_6b-orpo-full-v1", "results": []}]} | vain05/stablelm-2-1_6b-orpo-full-v1 | null | [
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| stablelm-2-1\_6b-orpo-full-v1
=============================
This model is a fine-tuned version of stabilityai/stablelm-2-1\_6b on the alvarobartt/dpo-mix-7k-simplified dataset.
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* Rewards/chosen: -0.1279
* Rewards/rejected: -0.1387
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text-generation | transformers |
# Uploaded model
- **Developed by:** katkout2313
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | katkout2313/Mistral-7b-PPP-Qlora666 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dmcooller/neural-matia-ft-5 | null | [
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text-generation | mlx |
# mlx-community/Qwen1.5-32B-Chat-4bit
This model was converted to MLX format from [`Qwen/Qwen1.5-32B-Chat`]().
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
mo... | {"language": ["en"], "license": "other", "tags": ["chat", "mlx"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Qwen1.5-32B-Chat-4bit | null | [
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|
# mlx-community/Qwen1.5-32B-Chat-4bit
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-8
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.c... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-8", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-8 | null | [
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"license:mit",
"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-8
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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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. -->
# roberta-base-ner-demo
This model is a fine-tuned version of [bayartsogt/mongolian-roberta-base](https://huggingface.co/bayartsog... | {"language": ["mn"], "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bayartsogt/mongolian-roberta-base", "model-index": [{"name": "roberta-base-ner-demo", "results": []}]} | AnnaCarson/roberta-base-ner-demo | null | [
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| roberta-base-ner-demo
=====================
This model is a fine-tuned version of bayartsogt/mongolian-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1755
* Precision: 0.6435
* Recall: 0.7245
* F1: 0.6816
* Accuracy: 0.9422
Model description
-----------------
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle40 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- 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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "qlora-out", "results": []}]} | caffeinatedcherrychic/test7 | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
qlora-out
=========
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4921
Model description
--... | [
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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. -->
# vimo-1.3B
This model is a fine-tuned version of [VietAI/gpt-neo-1.3B-vietnamese-news](https://huggingface.co/VietAI/gpt-neo-1.3B... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "VietAI/gpt-neo-1.3B-vietnamese-news", "model-index": [{"name": "vimo-1.3B", "results": []}]} | thangvip/vimo-1.3B | null | [
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| vimo-1.3B
=========
This model is a fine-tuned version of VietAI/gpt-neo-1.3B-vietnamese-news on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0732
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
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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": []} | Edgar404/donut-shared-r8-exp | null | [
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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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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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image-classification | transformers |
This is a simple AI image detection model utilizing visual transformers trained on the CIFake dataset.
Example usage:
```python
import torch
from PIL import Image
from torchvision import transforms
from transformers import ViTForImageClassification, ViTImageProcessor
# Load the trained model
model_path = 'vit_model.... | {"license": "apache-2.0", "labels": {"LABEL_0": "FAKE", "LABEL_1": "REAL"}} | jacoballessio/ai-image-detect | null | [
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#transformers #pytorch #safetensors #vit #image-classification #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
This is a simple AI image detection model utilizing visual transformers trained on the CIFake dataset.
Example usage:
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null | transformers |
# Uploaded model
- **Developed by:** katkout2313
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | katkout2313/Mistral-7b-PPP-GGUF | null | [
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|
# Uploaded model
- Developed by: katkout2313
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# 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": []} | Ontario/UrduS2Sv1 | null | [
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"bloom",
"text-generation",
"arxiv:1910.09700",
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"region:us"
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#transformers #safetensors #bloom #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# iadithyan/typo_correction_merged_16bit-Q4_K_M-GGUF
This model was converted to GGUF format from [`wisdominanutshell/typo_correction_merged_16bit`](https://huggingface.co/wisdominanutshell/typo_correction_merged_16bit) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-rep... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B"} | iadithyan/typo_correction_merged_16bit-Q4_K_M-GGUF | null | [
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|
# iadithyan/typo_correction_merged_16bit-Q4_K_M-GGUF
This model was converted to GGUF format from 'wisdominanutshell/typo_correction_merged_16bit' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL serv... | [
"# iadithyan/typo_correction_merged_16bit-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'wisdominanutshell/typo_correction_merged_16bit' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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": []} | MikeMpapa/lmd_mmm_tokenizer_tutorial | null | [
"transformers",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | null |
# bunnycore/Calme-7B-Instruct-v0.9-Q5_K_S-GGUF
This model was converted to GGUF format from [`MaziyarPanahi/Calme-7B-Instruct-v0.9`](https://huggingface.co/MaziyarPanahi/Calme-7B-Instruct-v0.9) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [or... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "mistral", "7b", "calme", "llama-cpp", "gguf-my-repo"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi", "model-index": [{"name": "Calme-7B-Instruct-v0.9", "results": []}]} | bunnycore/Calme-7B-Instruct-v0.9-Q5_K_S-GGUF | null | [
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"text-generation",
"license:apache-2.0",
"region:us"
] | null | 2024-04-05T18:06:30+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #mistral #7b #calme #llama-cpp #gguf-my-repo #text-generation #license-apache-2.0 #region-us
|
# bunnycore/Calme-7B-Instruct-v0.9-Q5_K_S-GGUF
This model was converted to GGUF format from 'MaziyarPanahi/Calme-7B-Instruct-v0.9' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-24
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-24", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-24 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-05T18:07:42+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-24
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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feature-extraction | transformers |
# Model card for ViTamin-L-336px
Official huggingface models of **ViTamin**, from the following CVPR 2024 paper:
[ViTamin: Design Scalable Vision Models in the Vision-language Era](https://arxiv.org/pdf/2404.02132.pdf).\
✨  [Jieneng Chen](https://beckschen.github.io), [Qihang Yu](https://yucornetto.github.io/)... | {"license": "mit", "datasets": ["mlfoundations/datacomp_1b"], "pipeline_tag": "feature-extraction"} | jienengchen/ViTamin-L-336px | null | [
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"pytorch",
"feature-extraction",
"custom_code",
"dataset:mlfoundations/datacomp_1b",
"arxiv:2404.02132",
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#transformers #pytorch #feature-extraction #custom_code #dataset-mlfoundations/datacomp_1b #arxiv-2404.02132 #license-mit #region-us
| Model card for ViTamin-L-336px
==============================
Official huggingface models of ViTamin, from the following CVPR 2024 paper:
ViTamin: Design Scalable Vision Models in the Vision-language Era.
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan Yuille and Liang-Chieh Chen
Johns Hopkins University, Byted... | [] | [
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null | null | # Pre-trained Web Table Embeddings
The models here represent schema terms and instance data terms in a semantic vector space making them especially useful for representing schema and class information as well as for ML tasks on tabular text data.
The code for executing and evaluating the models is located in the [tab... | {"language": ["en"], "license": "mit", "tags": ["schema", "word-embeddings", "embeddings", "unsupervised-learning", "tables", "web-table", "schema-data"]} | ddrg/web_table_embeddings_row64 | null | [
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"unsupervised-learning",
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"web-table",
"schema-data",
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] | TAGS
#schema #word-embeddings #embeddings #unsupervised-learning #tables #web-table #schema-data #en #license-mit #region-us
| Pre-trained Web Table Embeddings
================================
The models here represent schema terms and instance data terms in a semantic vector space making them especially useful for representing schema and class information as well as for ML tasks on tabular text data.
The code for executing and evaluating ... | [] | [
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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. -->
# hyperparam-rust-lora-32-6-epoch
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "deepseek-ai/deepseek-coder-1.3b-base", "model-index": [{"name": "hyperparam-rust-lora-32-6-epoch", "results": []}]} | ysr/hyperparam-rust-lora-32-6-epoch | null | [
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"dataset:generator",
"base_model:deepseek-ai/deepseek-coder-1.3b-base",
"license:other",
"region:us"
] | null | 2024-04-05T18:14:48+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-deepseek-ai/deepseek-coder-1.3b-base #license-other #region-us
| hyperparam-rust-lora-32-6-epoch
===============================
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4341
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "google/flan-t5-base"} | HeydarS/flant5_bs_EQ_peft_v2 | null | [
"peft",
"safetensors",
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"base_model:google/flan-t5-base",
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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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": []} | Akhilkometi/Medical_QandA | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hb_1
This model is a fine-tuned version of [Hate-speech-CNERG/hindi-abusive-MuRIL](https://huggingface.co/Hate-speech-CNERG/hind... | {"license": "afl-3.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "Hate-speech-CNERG/hindi-abusive-MuRIL", "model-index": [{"name": "hb_1", "results": []}]} | samhitmantrala/hb_1 | null | [
"transformers",
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"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:Hate-speech-CNERG/hindi-abusive-MuRIL",
"license:afl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-Hate-speech-CNERG/hindi-abusive-MuRIL #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us
| hb\_1
=====
This model is a fine-tuned version of Hate-speech-CNERG/hindi-abusive-MuRIL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0124
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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text-generation | transformers |
# ECE-TW3-JRGL-V3
ECE-TW3-JRGL-V3 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [migtissera/Tess-72B-v1.5b](https://huggingface.co/migtissera/Tess-72B-v1.5b)
* [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1)
## 🧩 Configuration | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "migtissera/Tess-72B-v1.5b", "abacusai/Smaug-72B-v0.1"]} | paloalma/ECE-TW3-JRGL-V3 | null | [
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"license:apache-2.0",
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"text-generation-inference",
"region:us"
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|
# ECE-TW3-JRGL-V3
ECE-TW3-JRGL-V3 is a merge of the following models using mergekit:
* migtissera/Tess-72B-v1.5b
* abacusai/Smaug-72B-v0.1
## Configuration | [
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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. -->
# en_vi_mt5-base_news_train
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "en_vi_mt5-base_news_train", "results": []}]} | yuufong/en_vi_mt5-base_news_train | null | [
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"safetensors",
"mt5",
"text2text-generation",
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"base_model:google/mt5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T18:25:48+00:00 | [] | [] | TAGS
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|
# en_vi_mt5-base_news_train
This model is a fine-tuned version of google/mt5-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
### Training hyperparamet... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | pdx97/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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] | null | 2024-04-05T18:26:38+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-32
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-32", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-32 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-05T18:27:18+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-32
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | Jhezinho/Agenda | null | [
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-05T18:28:33+00:00 | [
"1910.09700"
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#arxiv-1910.09700 #region-us
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# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
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text-to-image | diffusers | # Kei
<Gallery />
## Trigger words
You should use `12` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/leimu/5/tree/main) them in the Files & versions tab.
| {"license": "mit", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "12", "output": {"url": "images/keikaruizawa-a43c3-3928475372.jpeg"}}], "base_model": "ByteDance/SDXL-Lightning", "instance_prompt": "12"} | leimu/5 | null | [
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"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:ByteDance/SDXL-Lightning",
"license:mit",
"region:us"
] | null | 2024-04-05T18:31:04+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-ByteDance/SDXL-Lightning #license-mit #region-us
| # Kei
<Gallery />
## Trigger words
You should use '12' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MiniMoog/Mergerix-7b-v0.5
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "automerger/YamshadowExperiment28-7B", "automerger/PasticheInex12-7B"], "base_model": "MiniMoog/Mergerix-7b-v0.5", "quantized_by": "mradermacher"} | mradermacher/Mergerix-7b-v0.5-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
model = load_from_hub(repo_id="Kommunarus/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (i... | {"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": ... | Kommunarus/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-05T18:33:11+00:00 | [] | [] | TAGS
#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
model = load_from_hub(repo_id="Kommunarus/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env... | [
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage\n\n model = load_from_hub(repo_id=\"Kommunarus/q-FrozenLake-v1-4x4-noSlippery\", filename=\"URL\")\n\n # Don't forget to check if you need to add additional attributes (is_slippery=Fal... | [
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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": []} | tomaszki/stablelm-11 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T18:34:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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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. -->
# finetuned_starcoder2
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b)... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "finetuned_starcoder2", "results": []}]} | pavan-kiit/StarCoder2-3B_finetuned_Haskell | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:bigcode/starcoder2-3b",
"license:bigcode-openrail-m",
"region:us"
] | null | 2024-04-05T18:34:17+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-bigcode/starcoder2-3b #license-bigcode-openrail-m #region-us
|
# finetuned_starcoder2
This model is a fine-tuned version of bigcode/starcoder2-3b on the-stack-smol/haskell dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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text-generation | mlx |
# mlx-community/Qwen1.5-32B-Chat-8bit
This model was converted to MLX format from [`Qwen/Qwen1.5-32B-Chat`]().
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
mo... | {"language": ["en"], "license": "other", "tags": ["chat", "mlx"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Qwen1.5-32B-Chat-8bit | null | [
"mlx",
"safetensors",
"qwen2",
"chat",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-05T18:34:54+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #qwen2 #chat #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Qwen1.5-32B-Chat-8bit
This model was converted to MLX format from ['Qwen/Qwen1.5-32B-Chat']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Qwen1.5-32B-Chat-8bit\nThis model was converted to MLX format from ['Qwen/Qwen1.5-32B-Chat']().\nRefer to the original model card for more details on the model.",
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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. -->
# distilgpt2-disaster-twitter-v2-datacleaning
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the Non... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "gpt2", "model-index": [{"name": "distilgpt2-disaster-twitter-v2-datacleaning", "results": []}]} | JiaJiaCen/distilgpt2-disaster-twitter-v2-datacleaning | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T18:35:07+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-classification #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| distilgpt2-disaster-twitter-v2-datacleaning
===========================================
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5399
* F1: 0.7925
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
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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. -->
# amazon_helpfulness_classification_full
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base)... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "amazon_helpfulness_classification_full", "results": []}]} | BigTMiami/amazon_helpfulness_classification_full | null | [
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"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T18:38:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| amazon\_helpfulness\_classification\_full
=========================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3306
* Accuracy: 0.8746
* F1 Macro: 0.6534
Model description
-----------------
More inf... | [
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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
model = load_from_hub(repo_id="Kommunarus/q-Taxi", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.ma... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- 2... | Kommunarus/q-Taxi | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-05T18:40:53+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 .
## Usage
model = load_from_hub(repo_id="Kommunarus/q-Taxi", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = URL(model["env_id"])
| [
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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": []} | tomaszki/stablelm-11-a | null | [
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"arxiv:1910.09700",
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|
# Model Card for Model ID
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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. -->
# uniBERT.RoBERTa.1
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "uniBERT.RoBERTa.1", "results": []}]} | dbala02/uniBERT.RoBERTa.1 | null | [
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"generated_from_trainer",
"base_model:FacebookAI/roberta-base",
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#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| uniBERT.RoBERTa.1
=================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5672
* Accuracy: (0.5442359249329759,)
* F1: (0.5475073377350592,)
* Precision: (0.5667013774255618,)
* Recall: 0.5442
Model d... | [
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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": []} | pesc101/Mistral-7B-Instruct-v0.2-lbl-alpaca-2x | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-40
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-40", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-40 | null | [
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"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
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] | null | 2024-04-05T18:47:03+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-40
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
"# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-40\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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"# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-40\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
"## Model description\n\nMore information needed",
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"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us \n# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-40\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.## Model description\n\nMore information needed## Intended uses & ... |
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