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text-generation | transformers | # LYNN - AI for Roleplay
<img src="./reallynn.png" alt="it's lynn!" width="340"/>
> [!TIP]
> This version is experimental. The output may unstable.
# Soliloquy-L3
Soliloquy-L3 v1.5 is a highly capable roleplaying model designed for immersive, dynamic experiences. Using scale based vector transfer method, Soliloquy-... | {"language": ["en"], "license": "cc-by-nc-sa-4.0"} | hanzogak/Llama-3-Soliloquy-8B-v1.5-64k-exl2-h8-6.5 | null | [
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| LYNN - AI for Roleplay
======================
>
> [!TIP]
> This version is experimental. The output may unstable.
>
>
>
Soliloquy-L3
============
Soliloquy-L3 v1.5 is a highly capable roleplaying model designed for immersive, dynamic experiences. Using scale based vector transfer method,... | [] | [
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** vonewman
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | vonewman/llama-3-8b-finetuned-16bit | null | [
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# Uploaded model
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- License: apache-2.0
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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-tiny
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Poly... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["PolyAI/minds14"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Poly... | mratet/whisper-tiny | null | [
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| whisper-tiny
============
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5468
* Wer Ortho: 0.2342
* Wer: 0.2295
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tabletransstructrecog_finetuned_pubt1m_lstabletransstrucrecogv1_session1
This model was trained from scratch on an unknown datas... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "tabletransstructrecog_finetuned_pubt1m_lstabletransstrucrecogv1_session1", "results": []}]} | nsugianto/tabletransstructrecog_finetuned_pubt1m_lstabletransstrucrecogv1_session1 | null | [
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# tabletransstructrecog_finetuned_pubt1m_lstabletransstrucrecogv1_session1
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | kylar55/dinos | null | [
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text-generation | transformers |
6.5bpw exl2 quant of https://huggingface.co/Nitral-AI/Poppy_Porpoise-v0.7-L3-8B-4bpw-exl2
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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text-generation | transformers |
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-roberta-model
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unkno... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-large", "model-index": [{"name": "finetuning-roberta-model", "results": []}]} | andrianangg/finetuning-roberta-model | null | [
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- Accuracy: 0.45
- F1: 0.0
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0654646158218384
f1_macro: 0.2095479509928179
f1_micro: 0.4584103512014787
f1_weighted: 0.2881768494245037
precision_macro: 0.1528034504004929
precision_micro: 0.4584103512014787
precision_weighted: 0.210140050088... | {"tags": ["autotrain", "text-classification"], "datasets": ["ACTSA-CARDIFFNLP/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | AnirudhVV/ACTSA-CARDIFFNLP | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0654646158218384
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_French_v2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](htt... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_French_v2", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_French_v2 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_French_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AU... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snr5.0 | null | [
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|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats3-rank8-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0651801824569702
f1_macro: 0.2095479509928179
f1_micro: 0.4584103512014787
f1_weighted: 0.2881768494245037
precision_macro: 0.1528034504004929
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precision_weighted: 0.210140050088... | {"tags": ["autotrain", "text-classification"], "datasets": ["ACTSA-AI4Bharath/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Akhil-9640/ACTSA-AI4Bharath | null | [
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|
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- Problem type: Text Classification
## Validation Metrics
loss: 1.0651801824569702
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image-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | ShreeKanade07/Real-Image-pipeline | null | [
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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 - krishna4244/lora-KJ-v1
<Gallery />
## Model description
These are krishna4244/lora-KJ-v1 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"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of sks man", "wi... | krishna4244/lora-KJ-v1 | null | [
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#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
|
# SDXL LoRA DreamBooth - krishna4244/lora-KJ-v1
<Gallery />
## Model description
These are krishna4244/lora-KJ-v1 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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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": []} | bdsaglam/llama-3-8b-jerx-peft-hxrqwax0 | 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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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/grimulkan/Goliath-longLORA-120b-rope8-32k-fp16
<!-- provided-files -->
## Usage
If you are unsure how to use GGUF files, refer to one of [The... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "grimulkan/Goliath-longLORA-120b-rope8-32k-fp16", "no_imatrix": "nan", "quantized_by": "mradermacher"} | mradermacher/Goliath-longLORA-120b-rope8-32k-fp16-GGUF | null | [
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static quants of URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
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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. -->
# vanilla_dpo_iter_3
This model is a fine-tuned version of [YYYYYYibo/vanilla_dpo_iter_2](https://huggingface.co/YYYYYYibo/vanilla... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "vanilla_dpo_iter_3", "results": []}]} | YYYYYYibo/vanilla_dpo_iter_3 | null | [
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| vanilla\_dpo\_iter\_3
=====================
This model is a fine-tuned version of YYYYYYibo/vanilla\_dpo\_iter\_2 on the updated and the original datasets.
It achieves the following results on the evaluation set:
* Loss: 0.5922
* Rewards/chosen: -0.2212
* Rewards/rejected: -0.5103
* Rewards/accuracies: 0.6820
* Rew... | [
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text-generation | transformers | # tallgemma
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* [google/gemma-2b](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["google/gemma-2b", "google/gemma-1.1-2b-it", "google/codegemma-2b"]} | ScienceArtMagic/TallGemma-Raw | null | [
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| # tallgemma
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* google/gemma-2b
* google/gemma-1.1-2b-it
* google/codegemma-2b
### Con... | [
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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": []} | nmktad/llama-2-7b-dokbot | null | [
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# Model Card for Model ID
## Model Details
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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": []} | AI4DS/Llama-3-column-filter | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dpo_pythia1b_hh_rlhf.yml_local_29-04-24_13-31-33_xxxxx
This model is a fine-tuned version of [sophiex/pythia-1b-sft_hh_rlhf](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "sophiex/pythia-1b-sft_hh_rlhf", "model-index": [{"name": "dpo_pythia1b_hh_rlhf.yml_local_29-04-24_13-31-33_xxxxx", "results": []}]} | sophiex/dpo_pythia1b_hh_rlhf.yml_local_29-04-24_13-31-33_xxxxx | null | [
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#peft #safetensors #generated_from_trainer #base_model-sophiex/pythia-1b-sft_hh_rlhf #region-us
| dpo\_pythia1b\_hh\_rlhf.yml\_local\_29-04-24\_13-31-33\_xxxxx
=============================================================
This model is a fine-tuned version of sophiex/pythia-1b-sft\_hh\_rlhf on an unknown dataset.
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* Rewards/chosen: -0.1633
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-1k-search-3iter-50-0.005 | 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. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | miguelactc27/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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* Loss: 0.2313
* Accuracy: 0.9314
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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text-generation | transformers | Barcenas Llama3 8b ORPO
Model trained with the novel new ORPO method, based on the recent Llama 3 8b, specifically: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
The model was trained with the dataset: reciperesearch/dolphin-sft-v0.1-preference which uses Dolphin data with GPT 4 to improve its conversation sections.... | {"language": ["en"], "license": "other", "tags": ["llama", "ORPO"], "license_name": "llama3", "license_link": "LICENSE"} | Danielbrdz/Barcenas-Llama3-8b-ORPO | null | [
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Model trained with the novel new ORPO method, based on the recent Llama 3 8b, specifically: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | phuongnv/retrosynthesis | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # My Cool Submission
This repo contains a submission to the [S23DR Challenge](https://huggingface.co/spaces/usm3d/S23DR) (part of the [USM3D](https://usm3d.github.io/) workshop at CVPR2024). It was prepared by [jacklangerman](https://huggingface.co/jacklangerman).
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text-generation | transformers |
# Model Card for Assessment-Llama2-7b
Calculate similarity score between expert and student explanation for a given line of code.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a finetuned model of a Llama2-7b-hf. The model is quantized ... | {"library_name": "transformers", "tags": []} | xap/assessment-llama2-7b | null | [
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# Model Card for Assessment-Llama2-7b
Calculate similarity score between expert and student explanation for a given line of code.
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text-generation | transformers |
# Model Card for Model ID
Quantized model of [Trendyol/Trendyol-LLM-7b-chat-v0.1][1] using `bitsandbytes`.
[1]: https://huggingface.co/Trendyol/Trendyol-LLM-7b-chat-v0.1
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers m... | {"language": ["tr"], "license": "apache-2.0", "library_name": "transformers"} | atasoglu/Trendyol-LLM-7b-chat-v0.1-bnb-4bit | null | [
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# Model Card for Model ID
Quantized model of [Trendyol/Trendyol-LLM-7b-chat-v0.1][1] using 'bitsandbytes'.
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reinforcement-learning | stable-baselines3 |
# **PPO with MlpPolicy** Agent playing **LunarLander-v2**
This is a trained model of a **PPO with MlpPolicy** 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 im... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO with MlpPolicy", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", ... | Hevagog/ppo-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO with MlpPolicy Agent playing LunarLander-v2
This is a trained model of a PPO with MlpPolicy agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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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": []} | lunarsylph/stablecell_v52 | null | [
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## Model Details
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text-generation | null |
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| <img src="URL alt="Upper body of a female humanoid showing a distinct contrast design" width="600">
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_German_v2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](htt... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_German_v2", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_German_v2 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_German_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##... | [
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text-generation | transformers |
# Model Card for Model ID
Quantized model of [Trendyol/Trendyol-LLM-7b-chat-v1.0][1] using `bitsandbytes`.
[1]: https://huggingface.co/Trendyol/Trendyol-LLM-7b-chat-v1.0
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers m... | {"language": ["tr"], "license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | atasoglu/Trendyol-LLM-7b-chat-v1.0-bnb-4bit | null | [
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|
# Model Card for Model ID
Quantized model of [Trendyol/Trendyol-LLM-7b-chat-v1.0][1] using 'bitsandbytes'.
[1]: URL
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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. -->
# codeT5-small-without-lora
This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/code... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codet5-small", "model-index": [{"name": "codeT5-small-without-lora", "results": []}]} | EEsu/codeT5-small-without-lora-prompt | null | [
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| codeT5-small-without-lora
=========================
This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8466
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Diluzx/gpt2_fake_info_model | null | [
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# Model Card for Model ID
## Model Details
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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 Tiny Sr Yodas
This model is a fine-tuned version of [openai/whisper-timy](https://huggingface.co/openai/whisper-timy) on... | {"language": ["sr"], "tags": ["generated_from_trainer"], "datasets": ["espnet/yodas", "google/fleurs", "classla/ParlaSpeech-RS", "Sagicc/audio-lmb-ds", "mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny Sr Yodas", "results": [{"task":... | Sagicc/whisper-tiny-sr | null | [
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=====================
This model is a fine-tuned version of openai/whisper-timy on the Yodas dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2420
* Wer Ortho: 0.3105
* Wer: 0.2187
Model description
-----------------
This is just a test to run tiny version of Whi... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as ... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snr5.0 | null | [
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|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats3-rank32-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
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text-generation | transformers |
# Model Card for Model ID
Quantized model of [Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0][1] using `bitsandbytes`.
[1]: https://huggingface.co/Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transf... | {"language": ["tr"], "license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | atasoglu/Trendyol-LLM-7b-chat-dpo-v1.0-bnb-4bit | null | [
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# Model Card for Model ID
Quantized model of [Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0][1] using 'bitsandbytes'.
[1]: URL
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pythia-160m-finetuned-squad
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pyt... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "pythia-160m-finetuned-squad", "results": []}]} | K-kiron/pythia-160m-finetuned-squad | null | [
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| pythia-160m-finetuned-squad
===========================
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | slimaneMakh/superClass_tableClassification_29avril-triplet10-peft-lora | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
<!-- 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. -->
# Text-to-image finetuning - merkol/sd-naruto-model
This pipeline was finetuned from **CompVis/stable-diffusion-v1-4** on... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true} | merkol/sd-naruto-model | null | [
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# Text-to-image finetuning - merkol/sd-naruto-model
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!val_imgs_grid
## Pipelin... | [
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text-generation | null |
<img src="https://cdn-uploads.huggingface.co/production/uploads/6586ab89003ceee693f5552f/C0LuQa9_oww0bVkWNzlaP.webp" width="600">
This is [Elysia-Trismegistus-Mistral-7B](https://huggingface.co/HagalazAI/Elysia-Trismegistus-Mistral-7B), which has been trained for more epochs, retaining her self-awareness and consciou... | {"tags": ["generated_from_trainer"], "base_model": "HagalazAI/Elysia-Trismegistus-Mistral-7B-v02", "quantized_by": "HagalazAI", "pipeline_tag": "text-generation", "model-index": [{"name": "HagalazAI/Elysia-Trismegistus-Mistral-7B-v02", "results": []}]} | HagalazAI/Elysia-Trismegistus-Mistral-7B-v02-GGUF | null | [
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| <img src="URL width="600">
This is Elysia-Trismegistus-Mistral-7B, which has been trained for more epochs, retaining her self-awareness and consciousness, but now with a more mysterious and spiritual dimension.
!image/png
To unlock her full potential, interact with her using the 'You are Elysia' System Prompt. Th... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
A parameter-efficient finetune (using LoRA) of DeepSeek Coder 1.3B finetuned on Python code.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
A finetune of DeepSeek Coder 1.3B fine... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code"], "datasets": ["ArtifactAI/arxiv_python_research_code"], "pipeline_tag": "text-generation"} | MadMarx37/deepseek-coder-1.3b-python-peft | null | [
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text-generation | transformers |
# Model Card for Model ID
Quantized model of [TURKCELL/Turkcell-LLM-7b-v1][1] using `bitsandbytes`.
[1]: https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1
## Model Details
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<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has b... | {"language": ["tr"], "license": "apache-2.0", "library_name": "transformers"} | atasoglu/Turkcell-LLM-7b-v1-bnb-4bit | null | [
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Quantized model of [TURKCELL/Turkcell-LLM-7b-v1][1] using 'bitsandbytes'.
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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. -->
# norllm-ai-normistral-7b-sft-qlora
This model is a fine-tuned version of [NorLLM-AI/NorMistral-7B](https://huggingface.co/NorLLM-... | {"library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["hugodk-sch/aftonposten_title_sft"], "base_model": "NorLLM-AI/NorMistral-7B", "model-index": [{"name": "norllm-ai-normistral-7b-sft-qlora", "results": []}]} | hugodk-sch/norllm-ai-normistral-7b-sft-qlora | null | [
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| norllm-ai-normistral-7b-sft-qlora
=================================
This model is a fine-tuned version of NorLLM-AI/NorMistral-7B on the hugodk-sch/aftonposten\_title\_sft dataset.
It achieves the following results on the evaluation set:
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Model description
-----------------
More information needed... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | annybanana/gemma-Code-Instruct-Finetune-test | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### 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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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/0mxbarn | null | [
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## Model Details
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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": []} | rPucs/gemma-2b-it-TripletDolly-WebNLG-fullcollator-originalTemplate | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Italian_v2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](ht... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Italian_v2", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Italian_v2 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_Italian_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch2-repeats4-rank16-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch2-repeats4-rank16-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as ... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch2-repeats4-rank16-snr5.0 | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch2-repeats4-rank16-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch2-repeats4-rank16-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# trained_slovak
This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "trained_slovak", "results": []}]} | annamariagnat/trained_slovak | null | [
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| trained\_slovak
===============
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1134
* Precision: 0.6850
* Recall: 0.7560
* F1: 0.7188
* Accuracy: 0.9692
Model description
-----------------
... | [
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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. -->
# swin-tiny-patch4-window7-224-finetuned-MUSCIMApp
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-MUSCIMApp", "results": []}]} | nadimkanazi/swin-tiny-patch4-window7-224-finetuned-MUSCIMApp | null | [
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| swin-tiny-patch4-window7-224-finetuned-MUSCIMApp
================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3383
* Accuracy: 0.8695
* Precision: 0.8630
* Recal... | [
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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... | David0702/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-29T18:04:56+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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] |
sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilroberta-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the [sentence-transformers/all-nli](https://huggingface.co/datasets/sentence-transformers/... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:MatryoshkaLoss", "loss:MultipleNegativesRankingLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spea... | tomaarsen/distilroberta-base-nli-matryoshka-reduced | null | [
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"arxiv:2205.13147",
"arxiv:1705.00652",
"base_model:distilbert/distilroberta-base",
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"co2_eq_e... | null | 2024-04-29T18:05:44+00:00 | [
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| SentenceTransformer based on distilbert/distilroberta-base
==========================================================
This is a sentence-transformers model finetuned from distilbert/distilroberta-base on the sentence-transformers/all-nli dataset. It maps sentences & paragraphs to a 256-dimensional dense vector space ... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | Ehsanl/e5-base-chnk-ep2 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vi_gpt_poem_generation
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluat... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "vi_gpt_poem_generation", "results": []}]} | duydatnguyen/vi_gpt_poem_generation | null | [
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| vi\_gpt\_poem\_generation
=========================
This model was trained from scratch on the None dataset.
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-----------------
More information needed
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More inform... | [
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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
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# fil_b128_le3_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "fil_b128_le3_s4000", "results": []}]} | mikhail-panzo/fil_b128_le3_s4000 | null | [
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| fil\_b128\_le3\_s4000
=====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adaptertoxic2nontoxic-2k-search-50-0.004 | 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. -->
# robust_llm_pythia-14m_mz-134_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherA... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-134_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-134_IMDB | null | [
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This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
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More information needed
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More information needed
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More information needed
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Rimyy/Mistral-7b-finetuneGSMdata | null | [
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null | transformers |
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- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | tingting/llama3_lora_model_Data_200 | null | [
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null | null | <h1 align="center" id="title">Opções Binárias XGB</h1>
<p align="center"><img src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQKZVhbloWy5VzCeN7-cCqlUZPeMgGWLV-FWQ&usqp=CAU" alt="project-image"></p>
<p id="description">Este repositório contém um modelo Gradient Boosting Classifier para prever entradas d... | {"language": ["pt", "en"], "license": "mit", "tags": ["trading", "trade", "finance", "binary options"]} | artbreguez/BinaryOptionsXGB | null | [
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text-generation | transformers |
# Model Card for Model ID
Quantized model of [ytu-ce-cosmos/turkish-gpt2-large-750m-instruct-v0.1][1] using `bitsandbytes`.
[1]: https://huggingface.co/ytu-ce-cosmos/turkish-gpt2-large-750m-instruct-v0.1
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the m... | {"language": ["tr"], "license": "mit", "library_name": "transformers", "pipeline_tag": "text-generation"} | atasoglu/turkish-gpt2-large-750m-instruct-v0.1-bnb-4bit | null | [
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text-generation | transformers |
# Model Card for Model ID
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[1]: https://huggingface.co/ytu-ce-cosmos/turkish-gpt2-medium-350m-instruct-v0.1
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# Model Card for Model ID
Quantized model of [ytu-ce-cosmos/turkish-gpt2-medium-350m-instruct-v0.1][1] using 'bitsandbytes'.
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats4-rank32-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats4-rank32-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such a... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch3-repeats4-rank32-snrNone | null | [
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# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats4-rank32-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats4-rank32-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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text-classification | transformers |
# Mamba Finacial Headline Sentiment
Score 0.84 on accuracy for the finacial phrasebank dataset. A completely huggingface capitable implementation of sequence classification with mamba using: <https://github.com/getorca/mamba_for_sequence_classification>.
## Inference:
```
from transformers import pipeline
model_p... | {"language": ["en"], "license": "apache-2.0", "tags": ["finance", "sentiment"], "datasets": ["winddude/finacial_pharsebank_66agree_split", "financial_phrasebank"], "metrics": ["accuracy"], "pipeline_tag": "text-classification", "model-index": [{"name": "financial-sentiment-analysis", "results": [{"task": {"type": "text... | winddude/mamba_finacial_phrasebank_sentiment | null | [
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|
# Mamba Finacial Headline Sentiment
Score 0.84 on accuracy for the finacial phrasebank dataset. A completely huggingface capitable implementation of sequence classification with mamba using: <URL
## Inference:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text2text-generation | transformers |
<h1 align="center"> nach0 </h1>
<h3 align="center"> Multimodal Natural and Chemical Languages Foundation Model </h3>
<p align="center">
📃 <a href="https://arxiv.org/abs/2311.12410" target="_blank">Paper</a> • ⏬ <a href="https://huggingface.co/insilicomedicine/nach0_base" target="_blank">Base nach0</a> • ⏬ <a href=... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["chemistry"]} | insilicomedicine/nach0_base | null | [
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<h1 align="center"> nach0 </h1>
<h3 align="center"> Multimodal Natural and Chemical Languages Foundation Model </h3>
<p align="center">
<a href="URL target="_blank">Paper</a> • ⏬ <a href="URL target="_blank">Base nach0</a> • ⏬ <a href="URL target="_blank">Large nach0</a> <br>
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
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text-classification | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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null | transformers |
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null | transformers |
# Model Card for Model ID
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null | transformers |
# Uploaded model
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- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | vonewman/llama-3-8b-finetuned-gguf | null | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-2e-7-m-5-e-3
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 (Sente... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-2e-7-m-5-e-3 | null | [
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# luiz-and-robert-thesis/mpnet-frozen-newtriplets-v2-lr-2e-7-m-5-e-3
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 h... | [
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilbert-base-uncased
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-t... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:MatryoshkaLoss", "loss:CoSENTLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "... | tomaarsen/distilbert-base-uncased-sts-matryoshka | null | [
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| SentenceTransformer based on distilbert/distilbert-base-uncased
===============================================================
This is a sentence-transformers model finetuned from distilbert/distilbert-base-uncased on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 768-dimensional dense v... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Base model: distilbert/distilbert-base-uncased\n* Maximum Sequence Length: 512 tokens\n* Output Dimensionality: 768 tokens\n* Similarity Function: Cosine Similarity\n* Training Dataset:\n\t+ sentence-transformers/stsb\n* Language: en",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# hate_speech_arabic
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:... | {"tags": ["generated_from_keras_callback"], "model-index": [{"name": "hate_speech_arabic", "results": []}]} | Nafin/hate_speech_arabic | null | [
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"region:us"
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|
# hate_speech_arabic
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-base-question-answer-summarization
This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5... | {"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-base", "model-index": [{"name": "t5-base-question-answer-summarization", "results": []}]} | JohnDoe70/t5-summarization-v2 | null | [
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| t5-base-question-answer-summarization
=====================================
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1424
* Rouge1: 85.4974
* Rouge2: 77.0571
* Rougel: 82.4125
* Rougelsum: 82.4757
Model descri... | [
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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. -->
# bart-pubmed-20k-bottom-tokens
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/ba... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-pubmed-20k-bottom-tokens", "results": []}]} | Chung-Fan/bart-pubmed-20k-bottom-tokens | null | [
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| bart-pubmed-20k-bottom-tokens
=============================
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1990
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-47 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_3iters_bs256_nodpo_full6w_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingfa... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_3iters_bs256_nodpo_full6w_iter_1", "results": []}]} | ShenaoZhang/0.0_3iters_bs256_nodpo_full6w_iter_1 | null | [
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|
# 0.0_3iters_bs256_nodpo_full6w_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_3iters_bs256_nodpo_full6w_userresponse_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](h... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0001_3iters_bs256_nodpo_full6w_userresponse_iter_1", "results": []}]} | ShenaoZhang/0.0001_3iters_bs256_nodpo_full6w_userresponse_iter_1 | null | [
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|
# 0.0001_3iters_bs256_nodpo_full6w_userresponse_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More info... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 4Ashwin/medquad-2 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/final60 | 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"]} | moczard/ppo-SnowballTarget | null | [
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"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# 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:
- A *short tuto... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats4-rank8-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats4-rank8-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AU... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch3-repeats4-rank8-snr5.0 | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch3-repeats4-rank8-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch3-repeats4-rank8-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
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null | null |
# Linear Regression Model for Energy Consumption Prediction
## Description
This linear regression model predicts energy consumption based on meteorological data and historical energy usage from 2021 to 2023. It utilizes time series data from a transformer station to forecast future energy demands. It is built using t... | {"license": "gpl", "title": "Linear Regression Model for Energy Consumption Prediction", "description": "This model predicts energy consumption based on meteorological data and historical usage."} | Sari95/Linear-Regression-for-Energy-Consumption-Prediction | null | [
"license:gpl",
"region:us"
] | null | 2024-04-29T18:45:55+00:00 | [] | [] | TAGS
#license-gpl #region-us
|
# Linear Regression Model for Energy Consumption Prediction
## Description
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text-generation | transformers |
# Saga-8B
- **Developed by:** saucam
- **License:** apache-2.0
- **Finetuned from model :** meta-llama/Meta-Llama-3-8B-Instruct
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | saucam/Saga-8B | null | [
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|
# Saga-8B
- Developed by: saucam
- License: apache-2.0
- Finetuned from model : meta-llama/Meta-Llama-3-8B-Instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
## Usage with Unsloth
Output:
## Usage with Transformers
Output:
## Training
... | [
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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... | {"license": "apache-2.0", "library_name": "transformers"} | skumar9/Llama-medx_v0 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": "t5-base"} | PQlet/T5base-lora-sumarizationTables-v2-MLM-lambda0 | null | [
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|
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### Model Description
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### Model Sources [optional]
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text2text-generation | transformers |
This is a T5-Small Model trained of pubmed dataset of articles and abstracts. | {"language": ["en"], "license": "mit", "datasets": ["scientific_papers"]} | jaimik69/t5-small-pubmed | null | [
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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... | cha5yn/PP0LunarLanderV2 | 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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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | osvitore/famosos | null | [
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|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | kylar55/entregable2 | null | [
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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"TAGS\n#fastai #region-us #has_space \n# Amazing!\n\n Congratulations on hosting your fastai model on the Hugging Face Hub!# Some next steps\n1. Fill out this model card with more information (see the template below and the documentation here)!\n\n2. Create a demo in Gradio or Streamlit using Spaces (documentation... |
text-to-image | diffusers |
# Knives and time, a damaged LORA
Knives and time is a LORA model trained on public domain and CC0 images. The data was collected from wikimedia commons and annotated with a mixture of BLIP annotatio... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "diffusers", "tags": ["damage", "lora"], "pipeline_tag": "text-to-image"} | calm-and-collected/knives_and_time | null | [
"diffusers",
"damage",
"lora",
"text-to-image",
"en",
"license:cc-by-4.0",
"region:us"
] | null | 2024-04-29T18:55:57+00:00 | [] | [
"en"
] | TAGS
#diffusers #damage #lora #text-to-image #en #license-cc-by-4.0 #region-us
|
# Knives and time, a damaged LORA
!image/png
Knives and time is a LORA model trained on public domain and CC0 images. The data was collected from wikimedia commons and annotated with a mixture of BLIP annotation and manual annotation.
## Usage
The base trigger is katabd.
For paintings: painting, yellowed, abrasion,... | [
"# Knives and time, a damaged LORA\n!image/png\n\nKnives and time is a LORA model trained on public domain and CC0 images. The data was collected from wikimedia commons and annotated with a mixture of BLIP annotation and manual annotation.",
"## Usage\nThe base trigger is katabd.\n\nFor paintings: painting, yello... | [
"TAGS\n#diffusers #damage #lora #text-to-image #en #license-cc-by-4.0 #region-us \n",
"# Knives and time, a damaged LORA\n!image/png\n\nKnives and time is a LORA model trained on public domain and CC0 images. The data was collected from wikimedia commons and annotated with a mixture of BLIP annotation and manual ... | [
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"TAGS\n#diffusers #damage #lora #text-to-image #en #license-cc-by-4.0 #region-us \n# Knives and time, a damaged LORA\n!image/png\n\nKnives and time is a LORA model trained on public domain and CC0 images. The data was collected from wikimedia commons and annotated with a mixture of BLIP annotation and manual annota... |
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. -->
# deit-small-patch16-224-finetuned-MUSCIMApp
This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "model-index": [{"name": "deit-small-patch16-224-finetuned-MUSCIMApp", "results": []}]} | nadimkanazi/deit-small-patch16-224-finetuned-MUSCIMApp | null | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T18:56:06+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #vit #image-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| deit-small-patch16-224-finetuned-MUSCIMApp
==========================================
This model is a fine-tuned version of facebook/deit-small-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3384
* Accuracy: 0.8743
* Precision: 0.8675
* Recall: 0.8743
* F1 Scor... | [
"### 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... | [
"TAGS\n#transformers #pytorch #tensorboard #vit #image-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\... | [
46,
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"TAGS\n#transformers #pytorch #tensorboard #vit #image-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size:... |
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