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text-to-image | diffusers |
# JuggernautXL V9 RundiffusionPhoto2 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "ju... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/juggernautxl-v9-rundiffus | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-07T13:53:04+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# JuggernautXL V9 RundiffusionPhoto2 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "juggernautxl-v9-rundiffus"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free... | [
"# JuggernautXL V9 RundiffusionPhoto2 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"juggernautxl-v9-rundiffus\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# JuggernautXL V9 RundiffusionPhoto2 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from Models... | [
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n# JuggernautXL V9 RundiffusionPhoto2 API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No ... |
text-to-audio | 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. -->
# speecht5_allvoices_semcommon
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/spe... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_allvoices_semcommon", "results": []}]} | guilhermebastos96/speecht5_allvoices_semcommon | null | [
"transformers",
"tensorboard",
"safetensors",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"base_model:microsoft/speecht5_tts",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T13:54:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| speecht5\_allvoices\_semcommon
==============================
This model is a fine-tuned version of microsoft/speecht5\_tts on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3819
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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": []} | Cdywalst/donut-lora-r8-num_x2 | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T13:57:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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mask-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": []} | diliash/sam-2024-04-07-13-19-27 | null | [
"transformers",
"safetensors",
"sam",
"mask-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T13:59:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #sam #mask-generation #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-scene-parse-150-lr-4-e-30-new-9img_FFT
This model is a fine-tuned version of [DiTo97/binarization-segformer-b3](htt... | {"license": "openrail", "tags": ["generated_from_trainer"], "base_model": "DiTo97/binarization-segformer-b3", "model-index": [{"name": "segformer-b0-scene-parse-150-lr-4-e-30-new-9img_FFT", "results": []}]} | klentree/segformer-b0-scene-parse-150-lr-4-e-30-new-9img_FFT | null | [
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"segformer",
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"license:openrail",
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"region:us"
] | null | 2024-04-07T13:59:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #segformer #generated_from_trainer #base_model-DiTo97/binarization-segformer-b3 #license-openrail #endpoints_compatible #region-us
| segformer-b0-scene-parse-150-lr-4-e-30-new-9img\_FFT
====================================================
This model is a fine-tuned version of DiTo97/binarization-segformer-b3 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1542
* Mean Iou: 0.5040
* Mean Accuracy: 0.5233
* O... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
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object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rbhf38/detr-finetuned-balloon-v2 | null | [
"transformers",
"safetensors",
"detr",
"object-detection",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T14:02:11+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #detr #object-detection #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-canadaWildfireKP
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown datase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-canadaWildfireKP", "results": []}]} | rizvi-rahil786/t5-small-canadaWildfireKP | null | [
"transformers",
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"safetensors",
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"text2text-generation",
"generated_from_trainer",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-canadaWildfireKP
=========================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9108
* Rouge1: 45.9651
* Rouge2: 39.4386
* Rougel: 45.9311
* Rougelsum: 45.9452
* Gen Len: 8.7484
Model description
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 8",
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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. -->
# ehrsql-2024-sft-text2sql-Llama-2-7b-hf
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/m... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "ehrsql-2024-sft-text2sql-Llama-2-7b-hf", "results": []}]} | willystumblr/ehrsql-2024-sft-text2sql-Llama-2-7b-hf | null | [
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"generated_from_trainer",
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"base_model:meta-llama/Llama-2-7b-hf",
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-hf #license-llama2 #region-us
| ehrsql-2024-sft-text2sql-Llama-2-7b-hf
======================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0805
Model description
-----------------
More information needed
Intended us... | [
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null | null | # App Rating Predictor AI Model
## Overview
This AI model, App Rating Predictor, is designed to predict the ratings of mobile applications based on various features and characteristics. It utilizes machine learning algorithms to analyze app data and provide accurate rating predictions.
## Features
Predicts app ra... | {"language": ["en"], "license": "cc0-1.0", "tags": ["pytorch"]} | Syirezz/PredictoRate | null | [
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#pytorch #en #license-cc0-1.0 #region-us
| # App Rating Predictor AI Model
## Overview
This AI model, App Rating Predictor, is designed to predict the ratings of mobile applications based on various features and characteristics. It utilizes machine learning algorithms to analyze app data and provide accurate rating predictions.
## Features
Predicts app ra... | [
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translation | transformers | I only did ctranslate2 convert to the original.
cmd> ct2-transformers-converter --model NHNDQ/nllb-finetuned-ko2en --quantization float16 --output_dir NHNDQ-nllb-finetuned-ko2en-ct2
All copyrights belong to the original authors and the CT model may be deleted upon request. Below is the original model information.
Or... | {"language": ["en", "ko"], "license": "cc-by-4.0", "tags": ["translation"]} | skywood/NHNDQ-nllb-finetuned-ko2en-ct2-float16 | null | [
"transformers",
"translation",
"en",
"ko",
"license:cc-by-4.0",
"endpoints_compatible",
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"en",
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#transformers #translation #en #ko #license-cc-by-4.0 #endpoints_compatible #region-us
| I only did ctranslate2 convert to the original.
cmd> ct2-transformers-converter --model NHNDQ/nllb-finetuned-ko2en --quantization float16 --output_dir NHNDQ-nllb-finetuned-ko2en-ct2
All copyrights belong to the original authors and the CT model may be deleted upon request. Below is the original model information.
Or... | [
"## Model Details\n* Model Description: Fine-tuned facebook/nllb-200-distilled-600M ct2 model\n* Developed by: DanielHeo",
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# timesformer-base-finetuned-k400-kinetic400-subset-epoch6real-num_frame_10_myViT_more_data
This model is a fine-tuned version of ... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-kinetic400-subset-epoch6real-num_frame_10_myViT_more_data", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6real-num_frame_10_myViT_more_data | null | [
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| timesformer-base-finetuned-k400-kinetic400-subset-epoch6real-num\_frame\_10\_myViT\_more\_data
==============================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieves the following ... | [
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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. -->
# resnet-18-finetuned-cifar10
This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/resnet-18", "model-index": [{"name": "resnet-18-finetuned-cifar10", "results": []}]} | raks87/resnet-18-finetuned-cifar10 | null | [
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| resnet-18-finetuned-cifar10
===========================
This model is a fine-tuned version of microsoft/resnet-18 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Accuracy: 0.1017
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | 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": []} | Cdywalst/donut-lora-r8-num_x3 | 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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visual-question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vilt_finetuned
This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "dandelin/vilt-b32-mlm", "model-index": [{"name": "vilt_finetuned", "results": []}]} | farishehzad/vilt_finetuned | null | [
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|
# vilt_finetuned
This model is a fine-tuned version of dandelin/vilt-b32-mlm on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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text-to-audio | 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. -->
# speecht5_finetuned_voxpopuli_it_7k3k_5epochs
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["voxpopuli"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_voxpopuli_it_7k3k_5epochs", "results": []}]} | Feng-F-F/speecht5_finetuned_voxpopuli_it_7k3k_5epochs | null | [
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|
# speecht5_finetuned_voxpopuli_it_7k3k_5epochs
This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
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null | 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": []} | Cafet/whisper-cv16-mas-ex-cv16 | null | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | ann-ie/ppo-SnowballTarget | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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text-to-image | diffusers |
# Text-to-image finetuning - Fnatax75811ekpostacom/sd-laion-art_2
This pipeline was finetuned from **stabilityai/stable-diffusion-2-1** on the **fantasyfish/laion-art** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A man in a suit']:
![val_imgs_grid]... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "datasets": ["fantasyfish/laion-art"], "base_model": "stabilityai/stable-diffusion-2-1", "inference": true} | Fnatax75811ekpostacom/sd-laion-art_2 | null | [
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"endpoints_compatible",
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|
# Text-to-image finetuning - Fnatax75811ekpostacom/sd-laion-art_2
This pipeline was finetuned from stabilityai/stable-diffusion-2-1 on the fantasyfish/laion-art dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A man in a suit']:
!val_imgs_grid
## Pipe... | [
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"... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712499395115x882083776592231400
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["diegocrs/toffee"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712499395115x882083776592231400 | null | [
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"region:us"
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#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-diegocrs/toffee #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712499395115x882083776592231400
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-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 - galim/gabdulla_tuqay_LoRA
<Gallery />
## Model description
These are galim/gabdulla_tuqay_LoRA... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stabl... | galim/gabdulla_tuqay_LoRA | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-07T14:19:13+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #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 - galim/gabdulla_tuqay_LoRA
<Gallery />
## Model description
These are galim/gabdulla_tuqay_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 used for training: m... | [
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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/Uncle11 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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"1910.09700"
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#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]:
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text-generation | transformers |
# GPT-2 355M
### Model Description
GPT-2 355M stands out as a highly effective tool in the field of natural language processing. With 355 million parameters, this model adopts deep learning techniques and possesses a vast knowledge of language. GPT-2 355M, which can be used in various tasks such as text generation, ... | {"license": "apache-2.0", "metrics": ["accuracy"], "pipeline_tag": "text-generation"} | anezatra/gpt2-medium-chat | null | [
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"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #gpt2 #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# GPT-2 355M
### Model Description
GPT-2 355M stands out as a highly effective tool in the field of natural language processing. With 355 million parameters, this model adopts deep learning techniques and possesses a vast knowledge of language. GPT-2 355M, which can be used in various tasks such as text generation, ... | [
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text-to-image | diffusers |
# Text-to-image finetuning - Fnatax75811ekpostacom/sd-laion-art
This pipeline was finetuned from **stabilityai/stable-diffusion-2-1** on the **fantasyfish/laion-art** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A man in a suit']:
![val_imgs_grid](.... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "datasets": ["fantasyfish/laion-art"], "base_model": "stabilityai/stable-diffusion-2-1", "inference": true} | Fnatax75811ekpostacom/sd-laion-art | null | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dataset:fantasyfish/laion-art",
"base_model:stabilityai/stable-diffusion-2-1",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-07T14:24:16+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #dataset-fantasyfish/laion-art #base_model-stabilityai/stable-diffusion-2-1 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Text-to-image finetuning - Fnatax75811ekpostacom/sd-laion-art
This pipeline was finetuned from stabilityai/stable-diffusion-2-1 on the fantasyfish/laion-art dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A man in a suit']:
!val_imgs_grid
## Pipeli... | [
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"##... | [
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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. -->
# long-t5-local-base-finetuned-justification-v05
This model is a fine-tuned version of [google/long-t5-local-base](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/long-t5-local-base", "model-index": [{"name": "long-t5-local-base-finetuned-justification-v05", "results": []}]} | satyanshu404/long-t5-local-base-finetuned-justification-v05 | null | [
"transformers",
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"longt5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/long-t5-local-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T14:24:16+00:00 | [] | [] | TAGS
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| long-t5-local-base-finetuned-justification-v05
==============================================
This model is a fine-tuned version of google/long-t5-local-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3822
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 100",
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text-generation | transformers |
# TrendyTurkcellMix-LLM-7B_v0.1
TrendyTurkcellMix-LLM-7B_v0.1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [TURKCELL/Turkcell-LLM-7b-v1](https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1)
* [Trendyol/Trendyol-LLM-7b-chat-v1.0](https://huggingface.co/Trendyol/Trendyol-LLM-... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "TURKCELL/Turkcell-LLM-7b-v1", "Trendyol/Trendyol-LLM-7b-chat-v1.0"]} | tolgadev/TrendyTurkcellMix-LLM-7B_v0.1 | null | [
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"mistral",
"text-generation",
"merge",
"mergekit",
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"TURKCELL/Turkcell-LLM-7b-v1",
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"conversational",
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"endpoints_compatible",
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"reg... | null | 2024-04-07T14:24:40+00:00 | [] | [] | TAGS
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|
# TrendyTurkcellMix-LLM-7B_v0.1
TrendyTurkcellMix-LLM-7B_v0.1 is a merge of the following models using mergekit:
* TURKCELL/Turkcell-LLM-7b-v1
* Trendyol/Trendyol-LLM-7b-chat-v1.0
## Configuration
| [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712499981904x812799172148523000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Frank535/Dexter"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1712499981904x812799172148523000 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:Frank535/Dexter",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-07T14:26:32+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Frank535/Dexter #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712499981904x812799172148523000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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null | null |
# justinj92/dolmin-0.2-Q4_K_M-GGUF
This model was converted to GGUF format from [`justinj92/dolmin-0.2`](https://huggingface.co/justinj92/dolmin-0.2) 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/ju... | {"tags": ["llama-cpp", "gguf-my-repo"]} | justinj92/dolmin-0.2-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-07T14:28:12+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# justinj92/dolmin-0.2-Q4_K_M-GGUF
This model was converted to GGUF format from 'justinj92/dolmin-0.2' 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... | [
"# justinj92/dolmin-0.2-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'justinj92/dolmin-0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-imdb-sentiment
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imdb"], "metrics": ["f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-finetuned-imdb-sentiment", "results": [{"task": {"type": "text-classification"}, "dataset": {"name": "imdb", "type": "imdb", "split": "test"}, "metrics... | lyrisha/bert-finetuned-imdb-sentiment | null | [
"transformers",
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"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
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"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-07T14:28:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #dataset-imdb #base_model-bert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us
| bert-finetuned-imdb-sentiment
=============================
This model is a fine-tuned version of bert-base-uncased on an imdb dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3405
* F1: 0.9171
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### 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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text-generation | transformers |
# This Jamba model has been pruned to just 1B parameters. It was then trained on the first 50k examples of the Ultra Interact Pair dataset for Instruction based fine-tuning.
*Initial tests work but may be inconsistent. More info and examples will be posted later*
## Training
- **50k Examples**
- **6 hours x A100** | {"license": "apache-2.0", "tags": ["jamba"], "datasets": ["openbmb/UltraInteract_pair"], "base_model": "ai21labs/Jamba-v0.1"} | Severian/Jamba-UltraInteract-Instruct-1B | null | [
"transformers",
"safetensors",
"jamba",
"text-generation",
"custom_code",
"dataset:openbmb/UltraInteract_pair",
"base_model:ai21labs/Jamba-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T14:29:39+00:00 | [] | [] | TAGS
#transformers #safetensors #jamba #text-generation #custom_code #dataset-openbmb/UltraInteract_pair #base_model-ai21labs/Jamba-v0.1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# This Jamba model has been pruned to just 1B parameters. It was then trained on the first 50k examples of the Ultra Interact Pair dataset for Instruction based fine-tuning.
*Initial tests work but may be inconsistent. More info and examples will be posted later*
## Training
- 50k Examples
- 6 hours x A100 | [
"# This Jamba model has been pruned to just 1B parameters. It was then trained on the first 50k examples of the Ultra Interact Pair dataset for Instruction based fine-tuning. \n\n*Initial tests work but may be inconsistent. More info and examples will be posted later*",
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text-generation | transformers |
# SuperFlammen-4x7B
This is an experimental Mixture of Experts LLM built with (mergekit)[https://github.com/arcee-ai/mergekit/blob/main/docs/moe.md].
### Configuration
```yaml
base_model: nbeerbower/flammen15-gutenbe... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["jondurbin/truthy-dpo-v0.1", "kyujinpy/orca_math_dpo", "chargoddard/chai-dpo", "jondurbin/gutenberg-dpo-v0.1"], "base_model": ["nbeerbower/flammen15-gutenberg-DPO-v1-7B", "nbeerbower/flammen16-mistral-7B", "nbeerbower/flammen15X-mistral-7B", "nbeerb... | nbeerbower/SuperFlammen-4x7B | null | [
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"base_model:nbeerbower/flammen15-gutenberg-DPO-v1-7B",
"license:apache-2.0",
"autotrain_comp... | null | 2024-04-07T14:33:02+00:00 | [] | [] | TAGS
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!image/png
# SuperFlammen-4x7B
This is an experimental Mixture of Experts LLM built with (mergekit)[URL
### Configuration
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small ATC - ATCText
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mShiry/ATC_combined"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small ATC - ATCText", "results": []}]} | san2003m/whisper-small-hi | null | [
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"dataset:mShiry/ATC_combined",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T14:34:08+00:00 | [] | [
"en"
] | TAGS
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|
# Whisper Small ATC - ATCText
This model is a fine-tuned version of openai/whisper-small on the ATC dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.9991
- eval_wer: 76.1224
- eval_runtime: 2033.5597
- eval_samples_per_second: 2.323
- eval_steps_per_second: 0.066
- epoch: 0.0
- step:... | [
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null | null | # Citation Data
This dataset is generated by GPT3.5
| {} | BachNgoH/GeneratedCitationData | null | [
"region:us"
] | null | 2024-04-07T14:35:11+00:00 | [] | [] | TAGS
#region-us
| Data
This dataset is generated by GPT3.5
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null | null |
# justinj92/dolmin-0.2-Q3_K_M-GGUF
This model was converted to GGUF format from [`justinj92/dolmin-0.2`](https://huggingface.co/justinj92/dolmin-0.2) 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/ju... | {"tags": ["llama-cpp", "gguf-my-repo"]} | justinj92/dolmin-0.2-Q3_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-07T14:36:19+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# justinj92/dolmin-0.2-Q3_K_M-GGUF
This model was converted to GGUF format from 'justinj92/dolmin-0.2' 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... | [
"# justinj92/dolmin-0.2-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'justinj92/dolmin-0.2' 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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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hi - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["hi"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - Sanchit Gandhi", "results": [{"task": {"type": "automatic-speech... | showgan/community-events | null | [
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"base_model:openai/whisper-small",
"license:apache-2.0",
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"endpoints_compatible",
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| Whisper Small Hi - Sanchit Gandhi
=================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5714
* Wer: 18.0638
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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mask-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": []} | diliash/sam-2024-04-07-13-59-40 | null | [
"transformers",
"safetensors",
"sam",
"mask-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #sam #mask-generation #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-imdb", "results": []}]} | spyrok/distilbert-base-uncased-finetuned-imdb | null | [
"transformers",
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"safetensors",
"distilbert",
"fill-mask",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T14:43:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #fill-mask #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-imdb
======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4664
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: 64\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: 3.0",
"### Trai... | [
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null | null | # MoCLE Model Card
[MoCLE](https://arxiv.org/abs/2312.12379) is a Multi-modality Large Language Model (MLLM) with a Mixture-of-Experts (MoE) architecture for instruction customization and generalization based on [InstructBLIP](https://huggingface.co/docs/transformers/model_doc/instructblip).
This repo contains the MoC... | {"license": "apache-2.0"} | KaiChen1998/mocle-c16-t005 | null | [
"arxiv:2312.12379",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T14:51:22+00:00 | [
"2312.12379"
] | [] | TAGS
#arxiv-2312.12379 #license-apache-2.0 #region-us
| # MoCLE Model Card
MoCLE is a Multi-modality Large Language Model (MLLM) with a Mixture-of-Experts (MoE) architecture for instruction customization and generalization based on InstructBLIP.
This repo contains the MoCLE checkpoint with 16 instruction clusters and a routing temperature of 0.05.
Check detailed usage in o... | [
"# MoCLE Model Card\nMoCLE is a Multi-modality Large Language Model (MLLM) with a Mixture-of-Experts (MoE) architecture for instruction customization and generalization based on InstructBLIP. \nThis repo contains the MoCLE checkpoint with 16 instruction clusters and a routing temperature of 0.05.\nCheck detailed us... | [
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null | mlx |
# mlx-community/dolphin-2.2-yi-34b-200k-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.2-yi-34b-200k`]() using mlx-lm version **0.7.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.2-yi-34b-200k) for more details on the model.
## Use wit... | {"language": ["en"], "license": "other", "tags": ["mlx"], "datasets": ["ehartford/dolphin", "jondurbin/airoboros-2.2.1", "ehartford/samantha-data", "ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split"], "license_name": "yi-license", "license_link": "LICENSE", "model-index": [{"name": "dolphin-2.2-yi-34b-2... | mlx-community/dolphin-2.2-yi-34b-200k-4bit | null | [
"mlx",
"safetensors",
"llama",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
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"dataset:ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split",
"license:other",
"model-index",
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"en"
] | TAGS
#mlx #safetensors #llama #en #dataset-ehartford/dolphin #dataset-jondurbin/airoboros-2.2.1 #dataset-ehartford/samantha-data #dataset-ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split #license-other #model-index #region-us
|
# mlx-community/dolphin-2.2-yi-34b-200k-4bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.2-yi-34b-200k']() using mlx-lm version 0.7.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2-mental-health-finetuned
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](http... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2-mental-health-finetuned", "results": []}]} | minhcrafters/Mistral-7B-Instruct-v0.2-mental-health-finetuned | null | [
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"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2024-04-07T14:56:45+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #has_space #region-us
| Mistral-7B-Instruct-v0.2-mental-health-finetuned
================================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7904
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\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: cosine\n* lr\\_scheduler\\_warmup\\_ratio:... | [
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mask-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": []} | diliash/sam-2024-04-07-14-39-34 | null | [
"transformers",
"safetensors",
"sam",
"mask-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T14:59:08+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #sam #mask-generation #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.3
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "Kukedlc/NeuralSynthesis-7B-v0.3", "quantized_by": "mradermacher"} | mradermacher/NeuralSynthesis-7B-v0.3-GGUF | null | [
"transformers",
"gguf",
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"lazymergekit",
"en",
"base_model:Kukedlc/NeuralSynthesis-7B-v0.3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-Kukedlc/NeuralSynthesis-7B-v0.3 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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... | fishtoby/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-07T15:04:19+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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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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. -->
# Trisha_StarCoder2_CPP
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"], "datasets": ["bigcode/the-stack-smol"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "Trisha_StarCoder2_CPP", "results": []}]} | Trisha2411/Trisha_StarCoder2_CPP | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:bigcode/the-stack-smol",
"base_model:bigcode/starcoder2-3b",
"license:bigcode-openrail-m",
"region:us"
] | null | 2024-04-07T15:04:21+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-bigcode/the-stack-smol #base_model-bigcode/starcoder2-3b #license-bigcode-openrail-m #region-us
|
# Trisha_StarCoder2_CPP
This model is a fine-tuned version of bigcode/starcoder2-3b 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 hyperparam... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | saransh03sharma/mintrec-llama-2-7b-150-10-shot | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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question-answering | 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": []} | AKbuyer/ynov_nlp | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #question-answering #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | 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. -->
# timesformer-base-finetuned-k400-kinetic400-subset-epoch6real-num_frame_10_myViT2_more_data
This model is a fine-tuned version of... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-kinetic400-subset-epoch6real-num_frame_10_myViT2_more_data", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6real-num_frame_10_myViT2_more_data | null | [
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#transformers #tensorboard #safetensors #timesformer #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| timesformer-base-finetuned-k400-kinetic400-subset-epoch6real-num\_frame\_10\_myViT2\_more\_data
===============================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieves the followin... | [
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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/mistral-25 | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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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": "yhavinga/t5-base-dutch"} | Jorkieboe/DutchNewsSum | null | [
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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 |
GPTQ quantized version of gemma-1.1-2b-it model.
---
# Gemma Model Card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
This model card corresponds to the latest 2B instruct version of the Gemma model. Here you can find other models in the Gemma family:
| | Base ... | {"license": "gemma", "library_name": "transformers", "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re requi... | TechxGenus/gemma-1.1-2b-it-GPTQ | null | [
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---
Gemma Model Card
================
Model Page: Gemma
This model card corresponds to the latest 2B instruct version of the Gemma model. Here you can find other models in the Gemma family:
Base: 2B, Instruct: gemma-2b
Base: 7B, Instruct: gemma-7b
Release N... | [
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text2text-generation | transformers |
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on a subset of the WI-LOCNESS corpus. | {"license": "mit"} | 24donovan24/gec-bart | 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. -->
# roberta-base-5-epochs-fine-tune
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an ... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-5-epochs-fine-tune", "results": []}]} | xshubhamx/roberta-base-5-epochs-fine-tune | null | [
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| roberta-base-5-epochs-fine-tune
===============================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8677
* Accuracy: 1
* F1 Micro: 1
* F1 Macro: 1
* F1 Weighted: 1
Model description
-----------------
More in... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | Ryzhtus/mistral-7b-v0.1-function-calling-chatml-v3 | null | [
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null | peft |
Preview of dataset trained on: https://huggingface.co/datasets/manishiitg/aditi-syn-v2
The synthetic dataset (https://huggingface.co/datasets/manishiitg/aditi-syn-v2) and the full data creation pipeline (https://github.com/manishiitg/aditi_dataset) have been open-sourced, enabling transparency and fostering further ... | {"license": "gemma", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "google/gemma-7B", "model-index": [{"name": "open-aditi-chat-hi-1.25-gemma", "results": []}]} | manishiitg/open-aditi-v6-gemma | null | [
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null | mlx |
# mlx-community/dolphin-2.2-yi-34b-200k-8bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.2-yi-34b-200k`]() using mlx-lm version **0.7.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.2-yi-34b-200k) for more details on the model.
## Use wit... | {"language": ["en"], "license": "other", "tags": ["mlx"], "datasets": ["ehartford/dolphin", "jondurbin/airoboros-2.2.1", "ehartford/samantha-data", "ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split"], "license_name": "yi-license", "license_link": "LICENSE", "model-index": [{"name": "dolphin-2.2-yi-34b-2... | mlx-community/dolphin-2.2-yi-34b-200k-8bit | null | [
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|
# mlx-community/dolphin-2.2-yi-34b-200k-8bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.2-yi-34b-200k']() using mlx-lm version 0.7.0.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# OCI-DS-6.7B-schema-linking_0
This model is a fine-tuned version of [m-a-p/OpenCodeInterpreter-DS-6.7B](https://huggingface.co/m-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "m-a-p/OpenCodeInterpreter-DS-6.7B", "model-index": [{"name": "OCI-DS-6.7B-schema-linking_0", "results": []}]} | jdeklerk10/OCI-DS-6.7B-schema-linking_0 | null | [
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| OCI-DS-6.7B-schema-linking\_0
=============================
This model is a fine-tuned version of m-a-p/OpenCodeInterpreter-DS-6.7B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6317
Model description
-----------------
More information needed
Intended uses & limitat... | [
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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": []} | wraps/Mistral-7B-Instruct-v0.2-morse | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
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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 - vabyo/corgy_woman_LoRA
<Gallery />
## Model description
These are vabyo/corgy_woman_LoRA LoRA ... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stabl... | vabyo/corgy_woman_LoRA | null | [
"diffusers",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-07T15:35:20+00:00 | [] | [] | TAGS
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|
# SDXL LoRA DreamBooth - vabyo/corgy_woman_LoRA
<Gallery />
## Model description
These are vabyo/corgy_woman_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 used for training: madebyo... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712504134741x353385277128422900
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Peixesolza/Peixe_Solza__"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712504134741x353385277128422900 | null | [
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"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:Peixesolza/Peixe_Solza__",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-07T15:35:44+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Peixesolza/Peixe_Solza__ #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712504134741x353385277128422900
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-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. -->
# intent-classification
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "vinai/phobert-base-v2", "model-index": [{"name": "intent-classification", "results": []}]} | nguyenvanvi0812/intent-classification | null | [
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"roberta",
"text-classification",
"generated_from_trainer",
"base_model:vinai/phobert-base-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T15:37:09+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base-v2 #autotrain_compatible #endpoints_compatible #region-us
| intent-classification
=====================
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1902
* Accuracy: 0.9597
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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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... | AlidarAsvarov/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-07T15:37:16+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/brucethemoose/CaPlatTessDolXaBoros-Yi-34B-200K-DARE-Ties-HighDensity
<!-- provided-files -->
weighted/imatrix quants are available at https://... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["text-generation-inference", "merge"], "base_model": "brucethemoose/CaPlatTessDolXaBoros-Yi-34B-200K-DARE-Ties-HighDensity", "license_link": "https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE", "license_name": "yi-license", "quantized... | mradermacher/CaPlatTessDolXaBoros-Yi-34B-200K-DARE-Ties-HighDensity-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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mask-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": []} | diliash/sam-2024-04-07-15-00-38 | null | [
"transformers",
"safetensors",
"sam",
"mask-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T15:39:47+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #sam #mask-generation #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712504625959x935716626087183200
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["THEUS/Claire_red"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712504625959x935716626087183200 | null | [
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"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:THEUS/Claire_red",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-07T15:43:55+00:00 | [] | [] | TAGS
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|
# LoRA DreamBooth - squaadinc/1712504625959x935716626087183200
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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null | transformers |
# Uploaded model
- **Developed by:** BachNgoH
- **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/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | BachNgoH/Gemma_7b_Citation_lora | null | [
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|
# Uploaded model
- Developed by: BachNgoH
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.7891700423251602, 0.8172654798... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.79-0.82-0.81-0.9-0.45-0.46-7B | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"text-generation-inference",
"re... | null | 2024-04-07T15:48:04+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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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. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the f... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | Hyounguk/codeparrot-ds | null | [
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"safetensors",
"gpt2",
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"generated_from_trainer",
"base_model:gpt2",
"license:mit",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T15:52:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 6.0082
- eval_runtime: 31.1257
- eval_samples_per_second: 450.657
- eval_steps_per_second: 14.104
- epoch: 1.06
- step: 50
## Model description
More information n... | [
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sentence-similarity | sentence-transformers |
# MouradHassani/finetune
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["embedding-data/QQP_triplets"], "pipeline_tag": "sentence-similarity"} | MouradHassani/finetune | null | [
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|
# MouradHassani/finetune
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then... | [
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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": []} | TaoOfAGI/gemma-Code-Instruct-Finetune-test-haojing | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sdansdk/pythia_70m_finetuned | 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. -->
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unconditional-image-generation | diffusers | ```python
# !pip install diffusers
from diffusers import DiffusionPipeline
import torch
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model_id = "eurecom-ds/scoresdeve-ema-3dshapes-64"
# load model and scheduler
pipe = DiffusionPipeline.from_pretrained(model_id, trust_remote_code=True)
pipe.to... | {"datasets": ["eurecom-ds/shapes3d"], "pipeline_tag": "unconditional-image-generation"} | eurecom-ds/scoresdeve-ema-shapes3d-64 | null | [
"diffusers",
"safetensors",
"unconditional-image-generation",
"dataset:eurecom-ds/shapes3d",
"region:us"
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!image/png
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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. -->
# opus-mt-en-fr_wmt14_En_Fr_1million_20epochs_v2
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-fr", "model-index": [{"name": "opus-mt-en-fr_wmt14_En_Fr_1million_20epochs_v2", "results": []}]} | sriram-sanjeev9s/opus-mt-en-fr_wmt14_En_Fr_1million_20epochs_v2 | null | [
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| opus-mt-en-fr\_wmt14\_En\_Fr\_1million\_20epochs\_v2
====================================================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 6.7777
* Bleu: 0.0052
* Gen Len: 511.0
Model descriptio... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Aeala/Enterredaas-33b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Enterredaas-33b-GGU... | {"language": ["en"], "library_name": "transformers", "base_model": "Aeala/Enterredaas-33b", "quantized_by": "mradermacher"} | mradermacher/Enterredaas-33b-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-v0.2-conversation-finetuned-0.2
This model is a fine-tuned version of [unsloth/mistral-7b-v0.2-bnb-4bit](https://hugg... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit", "model-index": [{"name": "mistral-7b-v0.2-conversation-finetuned-0.2", "results": []}]} | FirstLast/mistral-7b-v0.2-conversation-finetuned-0.2 | null | [
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|
# mistral-7b-v0.2-conversation-finetuned-0.2
This model is a fine-tuned version of unsloth/mistral-7b-v0.2-bnb-4bit on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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. -->
# LayoutLM_Invoice6
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layou... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["layoutlmv3"], "base_model": "microsoft/layoutlm-base-uncased", "model-index": [{"name": "LayoutLM_Invoice6", "results": []}]} | Szczotar93/LayoutLM_Invoice6 | null | [
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| LayoutLM\_Invoice6
==================
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on the layoutlmv3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0219
* Ax Amount: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 11}
* Endor Name: {'precision': 1.0, 'rec... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mesolitica/finetune-mnli-malaysian-debertav2-base | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# legal-summ
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
-... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "legal-summ", "results": []}]} | brandonowens/legal-summ | null | [
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#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| legal-summ
==========
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7647
* Rouge1: 0.1649
* Rouge2: 0.0753
* Rougel: 0.119
* Rougelsum: 0.1189
* Gen Len: 62.0
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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null | 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. -->
# Llama-2-7b-hf-platypus_vxx
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Ll... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "Llama-2-7b-hf-platypus_vxx", "results": []}]} | NassimB/Llama-2-7b-hf-platypus_vxx | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# Llama-2-7b-hf-platypus_vxx
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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mask-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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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 - vabyo/corgy_person_LoRA
<Gallery />
## Model description
These are vabyo/corgy_person_LoRA LoR... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stabl... | vabyo/corgy_person_LoRA | null | [
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# SDXL LoRA DreamBooth - vabyo/corgy_person_LoRA
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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... | ZioYuri78/PPO_LL_V2_testing_test | null | [
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|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-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. -->
# legal-bert-base-uncased-5-epochs-fine-tune
This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggi... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "nlpaueb/legal-bert-base-uncased", "model-index": [{"name": "legal-bert-base-uncased-5-epochs-fine-tune", "results": []}]} | xshubhamx/legal-bert-base-uncased-5-epochs-fine-tune | null | [
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| legal-bert-base-uncased-5-epochs-fine-tune
==========================================
This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8581
* Accuracy: 1
* F1 Micro: 1
* F1 Macro: 1
* F1 Weighted: 1
Mode... | [
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null | null | # MoCLE Model Card
[MoCLE](https://arxiv.org/abs/2312.12379) is a Multi-modality Large Language Model (MLLM) with a Mixture-of-Experts (MoE) architecture for instruction customization and generalization based on [InstructBLIP](https://huggingface.co/docs/transformers/model_doc/instructblip).
This repo contains the MoC... | {"license": "apache-2.0"} | KaiChen1998/mocle-c64-t005 | null | [
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#arxiv-2312.12379 #license-apache-2.0 #region-us
| # MoCLE Model Card
MoCLE is a Multi-modality Large Language Model (MLLM) with a Mixture-of-Experts (MoE) architecture for instruction customization and generalization based on InstructBLIP.
This repo contains the MoCLE checkpoint with 64 instruction clusters and a routing temperature of 0.05.
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null | null | # MoCLE Model Card
[MoCLE](https://arxiv.org/abs/2312.12379) is a Multi-modality Large Language Model (MLLM) with a Mixture-of-Experts (MoE) architecture for instruction customization and generalization based on [InstructBLIP](https://huggingface.co/docs/transformers/model_doc/instructblip).
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#arxiv-2312.12379 #license-apache-2.0 #region-us
| # MoCLE Model Card
MoCLE is a Multi-modality Large Language Model (MLLM) with a Mixture-of-Experts (MoE) architecture for instruction customization and generalization based on InstructBLIP.
This repo contains the MoCLE checkpoint with 64 instruction clusters and a routing temperature of 0.1.
Check detailed usage in ou... | [
"# MoCLE Model Card\nMoCLE is a Multi-modality Large Language Model (MLLM) with a Mixture-of-Experts (MoE) architecture for instruction customization and generalization based on InstructBLIP. \nThis repo contains the MoCLE checkpoint with 64 instruction clusters and a routing temperature of 0.1.\nCheck detailed usa... | [
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text2text-generation | transformers |
# bart-for-gec
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on a subset of the WI-LOCNESS corpus. | {"license": "mit"} | eesuan/bart-for-gec | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T16:30:22+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# bart-for-gec
This model is a fine-tuned version of facebook/bart-base on a subset of the WI-LOCNESS corpus. | [
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] |
text-generation | null |
# Dolphin-2.6-mistral-7b-GGUF
- Quantized version of [dolphin-2.6-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b)
- Created using llama.cpp
## Model Description
- Model was created by [cognitivecomputations](https://huggingface.co/cognitivecomputations)
- This model is based on Mistra... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "text-generation-inference"], "pipeline_tag": "text-generation", "base_model": "cognitivecomputations/dolphin-2.6-mistral-7b", "inference": false} | QuantFactory/dolphin-2.6-mistral-7b-GGUF | null | [
"gguf",
"mistral",
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"text-generation",
"en",
"base_model:cognitivecomputations/dolphin-2.6-mistral-7b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T16:30:32+00:00 | [] | [
"en"
] | TAGS
#gguf #mistral #text-generation-inference #text-generation #en #base_model-cognitivecomputations/dolphin-2.6-mistral-7b #license-apache-2.0 #region-us
|
# Dolphin-2.6-mistral-7b-GGUF
- Quantized version of dolphin-2.6-mistral-7b
- Created using URL
## Model Description
- Model was created by cognitivecomputations
- This model is based on Mistral-7b
- The base model has 16k context
- This model is uncensored, hence users are responsible for the contentthey create usin... | [
"# Dolphin-2.6-mistral-7b-GGUF\n- Quantized version of dolphin-2.6-mistral-7b\n- Created using URL",
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"# Dolphin-2.6-mistral-7b-GGUF\n- Quantized version of dolphin-2.6-mistral-7b\n- Created using URL",
"## Model Description\n- Model was created by co... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MaziyarPanahi/Calme-12B-Instruct-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer", "mistral", "12b", "calme"], "model_name": "Calme-12B-Instruct-v0.1", "base_model": "MaziyarPanahi/Calme-12B-Instruct-v0.1", "model_creator": "MaziyarPanahi", "quantized_by": "mradermacher"} | mradermacher/Calme-12B-Instruct-v0.1-GGUF | null | [
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"en",
"base_model:MaziyarPanahi/Calme-12B-Instruct-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T16:32:08+00:00 | [] | [
"en"
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#transformers #gguf #generated_from_trainer #mistral #12b #calme #en #base_model-MaziyarPanahi/Calme-12B-Instruct-v0.1 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers | <img src="Faraday Model Repository Banner.png" alt="Faraday.dev" style="height: 90px; min-width: 32px; display: block; margin: auto;">
**<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, Faraday.dev.</p>**
<p style="text-align: center;"><a href="https://farada... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["roleplay", "text-generation-inference"], "base_model": "mlabonne/NeuralBeagle14-7B", "pipeline_tag": "text-generation", "quantized_by": "brooketh"} | FaradayDotDev/NeuralBeagle14-7B-GGUF | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-07T16:36:49+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #roleplay #text-generation-inference #text-generation #en #base_model-mlabonne/NeuralBeagle14-7B #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| <img src="Faraday Model Repository URL" alt="URL" style="height: 90px; min-width: 32px; display: block; margin: auto;">
<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, URL.</p>
<p style="text-align: center;"><a href="URL Faraday here to get started.</a></p>
... | [
"# NeuralBeagle14 7B\n- Creator: Maxime Labonne\n- Original: NeuralBeagle14 7B\n- Date Created: 2024-01-15\n- Trained Context: 8192 tokens\n- Description: DPO finetune of the author's earlier Beagle14-7B model. Compared to other 7B models, it displays good performance in instruction following and reasoning tasks. I... | [
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"# NeuralBeagle14 7B\n- Creator: Maxime Labonne\n- Original: NeuralBeagle14 7B\n- Date Created: 2024-01-15\n- Trained Context: 819... | [
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text-generation | transformers |
THIS MODEL IS A SELF MERGE WITH NO FURTHER TRAINING FOR EVALUATION OF THE EFFECTS OF PRUNED MODELS MERGED TOGETHER IN A SELF MERGE. | {"license": "cc-by-4.0"} | TroyDoesAI/MermaidMoE-15B | null | [
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"text-generation",
"license:cc-by-4.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-07T16:37:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
THIS MODEL IS A SELF MERGE WITH NO FURTHER TRAINING FOR EVALUATION OF THE EFFECTS OF PRUNED MODELS MERGED TOGETHER IN A SELF MERGE. | [] | [
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mask-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": []} | diliash/sam-2024-04-07-16-20-04 | null | [
"transformers",
"safetensors",
"sam",
"mask-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T16:39:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #sam #mask-generation #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - janetsw/my
These are textual inversion adaption weights for stabilityai/stabl... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | janetsw/my | null | [
"diffusers",
"tensorboard",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"textual_inversion",
"diffusers-training",
"base_model:stabilityai/stable-diffusion-2-1-base",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeli... | null | 2024-04-07T16:39:44+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #textual_inversion #diffusers-training #base_model-stabilityai/stable-diffusion-2-1-base #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Textual inversion text2image fine-tuning - janetsw/my
These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent issu... | [
"# Textual inversion text2image fine-tuning - janetsw/my\nThese are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.",
"## Intended uses & limitations",
"#### How to use",
"#### Limitations and bias\n\n[TODO: provide examples of l... | [
"TAGS\n#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #textual_inversion #diffusers-training #base_model-stabilityai/stable-diffusion-2-1-base #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
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sentence-similarity | sentence-transformers |
For more details please refer to our github repo: https://github.com/FlagOpen/FlagEmbedding
# BGE-M3 ([paper](https://arxiv.org/pdf/2402.03216.pdf), [code](https://github.com/FlagOpen/FlagEmbedding/tree/master/FlagEmbedding/BGE_M3))
In this project, we introduce BGE-M3, which is distinguished for its versatility in ... | {"license": "mit", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | comet24082002/bgeM3_MaxSq256_1024 | null | [
"sentence-transformers",
"pytorch",
"xlm-roberta",
"feature-extraction",
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"arxiv:2106.14807",
"arxiv:2107.05720",
"arxiv:2004.12832",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T16:42:23+00:00 | [
"2402.03216",
"2004.04906",
"2106.14807",
"2107.05720",
"2004.12832"
] | [] | TAGS
#sentence-transformers #pytorch #xlm-roberta #feature-extraction #sentence-similarity #arxiv-2402.03216 #arxiv-2004.04906 #arxiv-2106.14807 #arxiv-2107.05720 #arxiv-2004.12832 #license-mit #endpoints_compatible #region-us
| For more details please refer to our github repo: URL
BGE-M3 (paper, code)
====================
In this project, we introduce BGE-M3, which is distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.
* Multi-Functionality: It can simultaneously perform the three common re... | [
"### Generate Embedding for text\n\n\n* Dense Embedding\n\n\nYou also can use sentence-transformers and huggingface transformers to generate dense embeddings.\nRefer to baai\\_general\\_embedding for details.\n\n\n* Sparse Embedding (Lexical Weight)\n* Multi-Vector (ColBERT)",
"### Compute score for text pairs\n\... | [
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null | null | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Fine-tuned from Typhoon-7B on thai-instructions-rallio dataset.
Using LoRA adaptor.
Next-up is using translation API for dataset translation.
LoReFT to be tested nextly.
## Model Details
### Model Description
<!-- Provide a l... | {} | Ksgk-fy/thaimus-7B | null | [
"tensorboard",
"safetensors",
"region:us"
] | null | 2024-04-07T16:42:54+00:00 | [] | [] | TAGS
#tensorboard #safetensors #region-us
| # Model Card for Model ID
Fine-tuned from Typhoon-7B on thai-instructions-rallio dataset.
Using LoRA adaptor.
Next-up is using translation API for dataset translation.
LoReFT to be tested nextly.
## Model Details
### Model Description
## Uses
| [
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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. -->
# results
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
## Model descr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "results", "results": []}]} | Ajas2002/results | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T16:43:34+00:00 | [] | [] | TAGS
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| results
=======
This model is a fine-tuned version of t5-small on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trainin... | [
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