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question-answering | transformers | # Model Card for Cyber-risk-llama-2-7b
## Model Description
This model is a fine-tuned version of `NousResearch/Llama-2-7b-chat-hf` on the `vanessasml/cyber-reports-news-analysis-llama2-3k` dataset.
It is specifically designed to enhance performance in generating and understanding cybersecurity, identifying cyber th... | {"tags": ["finance", "supervision", "cyber risk", "cybersecurity", "cyber threats", "SFT", "LoRA", "A100GPU"], "datasets": ["Vanessasml/cyber-reports-news-analysis-llama2-3k"], "pipeline_tag": "question-answering"} | Vanessasml/cyber-risk-llama-2-7b | null | [
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... | null | 2024-04-15T13:57:34+00:00 | [] | [] | TAGS
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| # Model Card for Cyber-risk-llama-2-7b
## Model Description
This model is a fine-tuned version of 'NousResearch/Llama-2-7b-chat-hf' on the 'vanessasml/cyber-reports-news-analysis-llama2-3k' dataset.
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "mlabonne/AlphaMonarch-7B"]} | tvkkishore/Inspire-7B-slerp_0.2 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* mlabonne/AlphaMonarch-7B
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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. -->
# cdc_influenza_bart_large_cnn
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bar... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "cdc_influenza_bart_large_cnn", "results": []}]} | PergaZuZ/cdc_influenza_bart_large_cnn | null | [
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| cdc\_influenza\_bart\_large\_cnn
================================
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: 0.1632
* Rouge1: 0.536
* Rouge2: 0.408
* Rougel: 0.4456
* Rougelsum: 0.4456
* Gen Len: 83.0
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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": []} | cilantro9246/u2hpb0f | 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-to-image | diffusers |
# Custom Diffusion - SidXXD/Attn_Maps-mist-whole
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
For more det... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "custom-diffusion"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "photo of a <new1> dog", "inference": true} | SidXXD/Attn_Maps-mist-whole | null | [
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|
# Custom Diffusion - SidXXD/Attn_Maps-mist-whole
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using Custom Diffusion. You can find some example images in the following.
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "... | adekhovich/Reinforce-v1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mihaj/w2v-bert-karelian-with-tempo-aug | null | [
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# Model Card for Model ID
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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": []} | cilantro9246/x2d8hki | 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. -->
# phi2-results2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown data... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi2-results2", "results": []}]} | hadess1702/phi2-results2 | null | [
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# phi2-results2
This model is a fine-tuned version of microsoft/phi-2 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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | CopyPaste/bert-finetuned-ner | null | [
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| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0642
* Precision: 0.9363
* Recall: 0.9502
* F1: 0.9432
* Accuracy: 0.9860
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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feature-extraction | transformers |
# Mixtral-8x7B-v0.1-pl
<!-- Provide a quick summary of what the model is/does. -->
Mixtral-8x7B-v0.1-pl is a [Mixtral 8x7b](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) model fine-tuned using 2.2B Polish
tokens selected from the [SpeakLeash](https://speakleash.org/) dataset.
This is, to our knowledge, the f... | {"language": ["pl", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["MoE", "Mixtral"], "datasets": ["togethercomputer/RedPajama-Data-1T", "SpeakLeash"]} | maciek-pioro/Mixtral-8x7B-v0.1-pl | null | [
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|
# Mixtral-8x7B-v0.1-pl
Mixtral-8x7B-v0.1-pl is a Mixtral 8x7b model fine-tuned using 2.2B Polish
tokens selected from the SpeakLeash dataset.
This is, to our knowledge, the first open-weights MoE model fine-tuned on Polish data.
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text-to-image | diffusers |
# Custom Diffusion - SidXXD/Attn_Maps-ll
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
For more details on ... | {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "custom-diffusion"], "base_model": "CompVis/stable-diffusion-v1-4", "instance_prompt": "photo of a <new1> dog", "inference": true} | SidXXD/Attn_Maps-ll | null | [
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|
# Custom Diffusion - SidXXD/Attn_Maps-ll
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog using Custom Diffusion. You can find some example images in the following.
For more details on the training, please follow this link.
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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. -->
# mistral-7b_ablated_model_layer_1_gate_only_healed_with_bos
This model was trained from scratch on the generator dataset.
It achi... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "model-index": [{"name": "mistral-7b_ablated_model_layer_1_gate_only_healed_with_bos", "results": []}]} | Ffohturk/mistral-7b_ablated_model_layer_1_gate_only_healed_with_bos | null | [
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| mistral-7b\_ablated\_model\_layer\_1\_gate\_only\_healed\_with\_bos
===================================================================
This model was trained from scratch on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9904
Model description
-----------------
More i... | [
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text-classification | transformers | ## Metrics Upon Eval with max_length = 512
- loss: 2.4489
- accuracy: 0.7250
- precision: 0.7150
- recall: 0.7250
- precision_macro: 0.6583
- recall_macro: 0.6262
- macro_fpr: 0.0278
- weighted_fpr: 0.0264
- weighted_specificity: 0.9597
- macro_specificity: 0.9790
- weighted_sensitivity: 0.7250
- macro_sensitivity: 0.... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "openaccess-ai-collective/tiny-mistral", "model-index": [{"name": "tiny-mistral", "results": []}]} | xshubhamx/tiny-mistral | null | [
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| Metrics Upon Eval with max\_length = 512
----------------------------------------
* loss: 2.4489
* accuracy: 0.7250
* precision: 0.7150
* recall: 0.7250
* precision\_macro: 0.6583
* recall\_macro: 0.6262
* macro\_fpr: 0.0278
* weighted\_fpr: 0.0264
* weighted\_specificity: 0.9597
* macro\_specificity: 0.9790
* weight... | [
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image-classification | transformers |
# seed-VIT-10split
This is a fine tuned model created by Zabir Shahid as a project for the University of Nottingham Malaysia
## Example Images
#### Bad

#### Good
 | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | zabir735/seed-VIT-10split | null | [
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# seed-VIT-10split
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## Example Images
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
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text-to-image | diffusers | # LuMiNaML
<Gallery />
## Model description
luminaML
## Trigger words
You should use `luminaML` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/synthetica/luminaML/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "An glitchcat", "output": {"url": "images/catporcaria.jpg"}}], "base_model": "runwayml/stable-diffusion-v1-5", "instance_prompt": "luminaML"} | synthetica/luminaML | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #has_space #region-us
| # LuMiNaML
<Gallery />
## Model description
luminaML
## Trigger words
You should use 'luminaML' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-generation | transformers |
# 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": []} | rcherukuri14-k/phi2-operator-extractor | null | [
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_pepe_23 | 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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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ruhullah1/dummy-model | 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": []} | donlinglok/opt-125m-gptq-4bit | null | [
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text-generation | transformers |
# Model Card for mixtral-dna-bacteria-v0.2 (mistral for DNA)
The mixtral-dna-bacteria-v0.2 Large Language Model (LLM) is a pretrained generative DNA text model with 17.31M parameters x 8 experts = 138.5M parameters.
It is derived from Mistral-7B-v0.1 model, which was simplified for DNA: the number of layers and the ... | {"license": "apache-2.0", "tags": ["pretrained", "mistral", "DNA", "biology", "genomics"]} | RaphaelMourad/mixtral-dna-bacteria-v0.2 | null | [
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# Model Card for mixtral-dna-bacteria-v0.2 (mistral for DNA)
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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"]} | NFN2/cassava_leaves_status | null | [
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-ChangeRequest-Cluster4-3epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-ChangeRequest-Cluster4-3epochs", "results": []}]} | tedad09/PolizzeDonut-ChangeRequest-Cluster4-3epochs | null | [
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|
# PolizzeDonut-ChangeRequest-Cluster4-3epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
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More information needed
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image-to-3d | dust3r |
## DUSt3R: Geometric 3D Vision Made Easy
```bibtex
@inproceedings{dust3r_cvpr24,
title={DUSt3R: Geometric 3D Vision Made Easy},
author={Shuzhe Wang and Vincent Leroy and Yohann Cabon and Boris Chidlovskii and Jerome Revaud},
booktitle = {CVPR},
year = {2024}
}
@misc{dust3r_arxiv23,
ti... | {"license": "cc-by-nc-sa-4.0", "library_name": "dust3r", "tags": ["image-to-3d"]} | naver/DUSt3R_ViTLarge_BaseDecoder_512_dpt | null | [
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#dust3r #safetensors #image-to-3d #arxiv-2312.14132 #license-cc-by-nc-sa-4.0 #region-us
| DUSt3R: Geometric 3D Vision Made Easy
-------------------------------------
License
=======
The code is distributed under the CC BY-NC-SA 4.0 License. See LICENSE for more information.
Model info
==========
Gihub page: URL
Project page: URL
How to use
==========
First, install dust3r. Make sure to install ... | [] | [
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image-classification | transformers |
# seed-VIT-2epoch
This is a fine tuned model created by Zabir Shahid as a project for the University of Nottingham Malaysia
## Example Images
#### Bad

#### Good
 | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | zabir735/seed-VIT-2epoch | null | [
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# seed-VIT-2epoch
This is a fine tuned model created by Zabir Shahid as a project for the University of Nottingham Malaysia
## Example Images
#### Bad
!Bad
#### Good
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_buff66e4_v4 | null | [
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#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
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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. -->
# question_generation
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "question_generation", "results": []}]} | nadika/question_generation | null | [
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| question\_generation
====================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0593
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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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": "NousResearch/Llama-2-7b-chat-hf"} | kr-manish/Llama-2-7b-chat-finetune-for-textGeneration | null | [
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### Model Description
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_batch64_v4 | null | [
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#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
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image-to-3d | dust3r |
## DUSt3R: Geometric 3D Vision Made Easy
```bibtex
@inproceedings{dust3r_cvpr24,
title={DUSt3R: Geometric 3D Vision Made Easy},
author={Shuzhe Wang and Vincent Leroy and Yohann Cabon and Boris Chidlovskii and Jerome Revaud},
booktitle = {CVPR},
year = {2024}
}
@misc{dust3r_arxiv23,
ti... | {"license": "cc-by-nc-sa-4.0", "library_name": "dust3r", "tags": ["image-to-3d"]} | naver/DUSt3R_ViTLarge_BaseDecoder_512_linear | null | [
"dust3r",
"safetensors",
"image-to-3d",
"arxiv:2312.14132",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2024-04-15T14:48:43+00:00 | [
"2312.14132"
] | [] | TAGS
#dust3r #safetensors #image-to-3d #arxiv-2312.14132 #license-cc-by-nc-sa-4.0 #region-us
| DUSt3R: Geometric 3D Vision Made Easy
-------------------------------------
License
=======
The code is distributed under the CC BY-NC-SA 4.0 License. See LICENSE for more information.
Model info
==========
Gihub page: URL
Project page: URL
How to use
==========
First, install dust3r. Make sure to install ... | [] | [
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text-generation | transformers |
# Qwen-portuguese-luana-7b
<p align="center">
<img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/luana-qwen.webp" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
This model was trained with a superset of 250,000 chat in Portuguese.
The model comes to he... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Misral", "Portuguese", "7b", "chat", "portugues"], "datasets": ["rhaymison/superset"], "base_model": "Qwen/Qwen1.5-7B", "pipeline_tag": "text-generation", "inference": false, "model-index": [{"name": "Qwen-portuguese-luana-7b", "res... | rhaymison/Qwen-portuguese-luana-7b | null | [
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"license:apache-2.0",
"model-index",
"autotrain_compatible",
"has_space",
"text-generati... | null | 2024-04-15T14:48:49+00:00 | [] | [
"pt"
] | TAGS
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| Qwen-portuguese-luana-7b
========================

This model was trained with a superset of 250,000 chat in Portuguese.
The model comes to help fill the gap in models in Portuguese. Tuned from the Qwen1.5-7B-Chat.
How to use
==========
### FULL MODEL : A100
### HALF MODEL: L4
### 8bit or ... | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Saranga7/sd-class-butterfli... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Saranga7/sd-class-butterflies-32 | null | [
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"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
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"region:us"
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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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. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | frenkd/code-llama-7b-text-to-sql | null | [
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"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of microsoft/phi-1_5 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
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text-generation | transformers |

## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | blockblockblock/SauerkrautLM-Qwen-32b-bpw5.5 | null | [
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| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
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unconditional-image-generation | null |
# Perturbed-Attention Guidance for SDXL
<div style="display:flex">
<video width=50% autoplay loop controls>
<source src="https://huggingface.co/multimodalart/sdxl_perturbed_attention_guidance/resolve/main/pag_sdxl.mp4" type="video/mp4">
</video>
<video width=50% autoplay loop controls>
<source src="http... | {"language": ["en"], "tags": ["Diffusion Models", "Stable Diffusion", "Perturbed-Attention Guidance", "PAG"], "pipeline_tag": "unconditional-image-generation"} | multimodalart/sdxl_perturbed_attention_guidance | null | [
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|
# Perturbed-Attention Guidance for SDXL
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<source src="URL type="video/mp4">
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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": []} | Charliesgt/pollencounter_detr_resnet50_benchmark | null | [
"transformers",
"safetensors",
"detr",
"object-detection",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T14:51:38+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.
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- Shared by [optional]:
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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": []} | Charliesgt/pollencounter_detr_resnet50 | null | [
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"safetensors",
"detr",
"object-detection",
"arxiv:1910.09700",
"endpoints_compatible",
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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 | speechbrain |
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
<br/><br/>
# Branchformer for KsponSpeech (with Transformer LM)
This repository provides all the necessary tools to per... | {"language": "kr", "license": "apache-2.0", "tags": ["ASR", "CTC", "Attention", "Branchformer", "pytorch", "speechbrain"], "datasets": ["ksponspeech"], "metrics": ["wer", "cer"]} | ddwkim/asr-branchformer-transformerlm-ksponspeech | null | [
"speechbrain",
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"Attention",
"Branchformer",
"pytorch",
"kr",
"dataset:ksponspeech",
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] | TAGS
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|
Branchformer for KsponSpeech (with Transformer LM)
==================================================
This repository provides all the necessary tools to perform automatic speech
recognition from an end-to-end system pretrained on KsponSpeech (Kr) within
SpeechBrain. For a better experience, we encourage you ... | [
"### Transcribing your own audio files (in Korean)",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/fuiyk3h | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # Casktalk-VLM ( CaskTalk Vision Language Model)

## Model Details
- **Developed by:** ToriLab (CasTalk)
- **Model type:** (based on LLaVA, + mistral-7b)
## Usage
### Presequities
```bash
pip inst... | {"license": "apache-2.0"} | torilab/castalk-vlm | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T14:54:26+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| # Casktalk-VLM ( CaskTalk Vision Language Model)
!image/png
## Model Details
- Developed by: ToriLab (CasTalk)
- Model type: (based on LLaVA, + mistral-7b)
## Usage
### Presequities
### Inference
We now pass the image and the text prompt to the processor, and then pass the processed inputs to the generate.... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-sft-qlora
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignm... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-qlora", "results": []}]} | zhongshsh/zephyr-7b-sft-qlora | null | [
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| zephyr-7b-sft-qlora
===================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9918
Model description
-----------------
More information needed
Intended uses &... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Validation Loss and Accuracy report:
* **Validation Loss:** 0.11179830832788
* **Validation Accuracy:** 0.9352647152068487
## Classification Report
| | **Precision** | **Recall** | **F1-Score** | **Support** |... | {"library_name": "transformers", "tags": []} | wendysWenda/syn-deberta-annot-714-150424 | null | [
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| Model Card for Model ID
=======================
Validation Loss and Accuracy report:
------------------------------------
* Validation Loss: 0.11179830832788
* Validation Accuracy: 0.9352647152068487
Classification Report
---------------------
Model Details
-------------
### Model Description
This is the m... | [
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text-classification | transformers |
# bert-base-cased-NER-reranker
A BERT model trained on the synthetic literary NER context retrieval dataset [Amalvy et. al, 2023](https://aclanthology.org/2023.emnlp-main.642/).
To use this model, construct a text of the form **NER-sentence [SEP] context-sentence**.
The model should predict the positive class if **... | {"language": ["en"], "license": "mit", "library_name": "transformers", "pipeline_tag": "text-classification", "widget": [{"text": "Prince Raoden went to Elantris. [SEP] Elantris is a great city."}]} | compnet-renard/bert-base-cased-NER-reranker | null | [
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|
# bert-base-cased-NER-reranker
A BERT model trained on the synthetic literary NER context retrieval dataset Amalvy et. al, 2023.
To use this model, construct a text of the form NER-sentence [SEP] context-sentence.
The model should predict the positive class if context-sentence is useful to predict NER-sentence, and... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AY2324S2-CS4248-Team-47/GEC-Baseline-Transformer | 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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image-to-3d | dust3r |
## DUSt3R: Geometric 3D Vision Made Easy
```bibtex
@inproceedings{dust3r_cvpr24,
title={DUSt3R: Geometric 3D Vision Made Easy},
author={Shuzhe Wang and Vincent Leroy and Yohann Cabon and Boris Chidlovskii and Jerome Revaud},
booktitle = {CVPR},
year = {2024}
}
@misc{dust3r_arxiv23,
ti... | {"license": "cc-by-nc-sa-4.0", "library_name": "dust3r", "tags": ["image-to-3d"]} | naver/DUSt3R_ViTLarge_BaseDecoder_224_linear | null | [
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"safetensors",
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"arxiv:2312.14132",
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#dust3r #safetensors #image-to-3d #arxiv-2312.14132 #license-cc-by-nc-sa-4.0 #region-us
| DUSt3R: Geometric 3D Vision Made Easy
-------------------------------------
License
=======
The code is distributed under the CC BY-NC-SA 4.0 License. See LICENSE for more information.
Model info
==========
Gihub page: URL
Project page: URL
How to use
==========
First, install dust3r. Make sure to install ... | [] | [
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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": []} | hawks23/amadeus_ai_v1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# amadeus_v1
This model is a fine-tuned version of [TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ](https://huggingface.co/TheBloke/Wiz... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ", "model-index": [{"name": "amadeus_v1", "results": []}]} | hawks23/amadeus_v1 | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ #license-other #region-us
| amadeus\_v1
===========
This model is a fine-tuned version of TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.3259
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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text-generation | transformers |
# Model Card for Orthorus v3 125b
Slight variation of v2
## 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 generated.
- **Developed by:** [More... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers"} | ibivibiv/orthorus_125b_v3 | null | [
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|
# Model Card for Orthorus v3 125b
Slight variation of v2
## 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]:
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-... | [
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null | null | # pet-shop-1000-64-20-BAAI_bge-small-en-v1.5-1000_9062874564
## Model Description
pet-shop-1000-64-20-BAAI_bge-small-en-v1.5-1000_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language process... | {} | florianhoenicke/pet-shop-1000-64-20-BAAI_bge-small-en-v1.5-1000_9062874564 | null | [
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#region-us
| # pet-shop-1000-64-20-BAAI_bge-small-en-v1.5-1000_9062874564
## Model Description
pet-shop-1000-64-20-BAAI_bge-small-en-v1.5-1000_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
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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_dataup_replaceboth_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_dataup_replaceboth_iter_1](https://huggingf... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_dataup_replaceboth_dataset"], "base_model": "ZhangShenao/0.0_dataup_replaceboth_iter_1", "model-index": [{"name": "0.0_dataup_replaceboth_iter_2", "results": []}]} | ZhangShenao/0.0_dataup_replaceboth_iter_2 | null | [
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... | null | 2024-04-15T15:02:16+00:00 | [] | [] | TAGS
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# 0.0_dataup_replaceboth_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_dataup_replaceboth_iter_1 on the ZhangShenao/0.0_dataup_replaceboth_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More in... | [
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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-cnn-samsun-finetuned
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-l... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-cnn-samsun-finetuned", "results": []}]} | abhilash04/bart-cnn-samsun-finetuned | null | [
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| bart-cnn-samsun-finetuned
=========================
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0924
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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image-classification | transformers |
# seed-VIT-4epoch
This is a fine tuned model created by Zabir Shahid as a project for the University of Nottingham Malaysia
## Example Images
#### Bad

#### Good
 | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | zabir735/seed-VIT-4epoch | null | [
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|
# seed-VIT-4epoch
This is a fine tuned model created by Zabir Shahid as a project for the University of Nottingham Malaysia
## Example Images
#### Bad
!Bad
#### Good
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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. -->
# wtimit-base960h-normal-all
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wtimit_asr"], "base_model": "facebook/wav2vec2-base-960h", "model-index": [{"name": "wtimit-base960h-normal-all", "results": []}]} | kartikay101/wtimit-base960h-normal-all | null | [
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|
# wtimit-base960h-normal-all
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the wtimit_asr dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.0427
- eval_wer: 1.0
- eval_runtime: 106.1217
- eval_samples_per_second: 23.822
- eval_steps_per_second: 2.978
- epoch: 3.... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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|
# Model Card for Model ID
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This is the model card of a diffusers 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. -->
## Model description
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/gpt2) on an [MentalHealt... | {"language": "en", "license": "apache-2.0", "tags": ["conversational", "gpt2"], "datasets": ["Kiran2004/MentalHealthConversations"], "modelId": "unique-model-identifier", "base_model": "gpt2", "model-index": [{"name": "GPT2_Conversational_Bot", "results": []}]} | Kiran2004/GPT2_MentalHealth_ChatBot | null | [
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|
## Model description
This model is a fine-tuned version of openai-community/gpt2 on an MentalHealthConversational 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": []} | HeydarS/MiniCPM_EQ_peft_v58 | 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 | null |
# Contextualizer
Contextualizer: A Sampling Based Alternative to Attention Mechanism in Transformers
Paper Coming Soon | {"license": "bsd-3-clause"} | Abdullah-Nazhat/Contextualizer | null | [
"license:bsd-3-clause",
"region:us"
] | null | 2024-04-15T15:15:07+00:00 | [] | [] | TAGS
#license-bsd-3-clause #region-us
|
# Contextualizer
Contextualizer: A Sampling Based Alternative to Attention Mechanism in Transformers
Paper Coming Soon | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-sft-qlora-10p
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistr... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-qlora-10p", "results": []}]} | terry69/zephyr-7b-sft-qlora-10p | null | [
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"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T15:16:20+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| zephyr-7b-sft-qlora-10p
=======================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0007
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="nachoglezmur/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additiona... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | nachoglezmur/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
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": []} | Sahil998/codegen-350M-mono-finetuned-python-18k-alpaca | null | [
"transformers",
"safetensors",
"codegen",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #codegen #text-generation #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]:
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- Language(s) (NLP):
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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": []} | heyllm234/sc24 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0415MA1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0415MA1", "results": []}]} | Litzy619/V0415MA1 | null | [
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"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0415MA1
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0598
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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fill-mask | 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. -->
# pippinnie/distilroberta-base-finetuned-cyber-readme-v3
This model is a fine-tuned version of [distilroberta-base](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilroberta-base", "model-index": [{"name": "pippinnie/distilroberta-base-finetuned-cyber-readme-v3", "results": []}]} | pippinnie/distilroberta-base-finetuned-cyber-readme-v3 | null | [
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#transformers #tf #roberta #fill-mask #generated_from_keras_callback #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| pippinnie/distilroberta-base-finetuned-cyber-readme-v3
======================================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 2.7116
* Train Accuracy: 0.0814
* Validation Loss: 2.55... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
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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": "ai-forever/FRED-T5-1.7B"} | SouthMemphis/fred-3 | 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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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# LLama_missing_music_generator
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama... | {"tags": ["trl", "sft", "missing lyric Llama2 Large", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "LLama_missing_music_generator", "results": []}]} | ShushantLLM/LLama_missing_music_generator | null | [
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"missing lyric Llama2 Large",
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#safetensors #trl #sft #missing lyric Llama2 Large #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# LLama_missing_music_generator
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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sentence-similarity | sentence-transformers |
# Yunika/muril-sentence-transformer
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 mod... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["embedding-data/QQP_triplets"], "pipeline_tag": "sentence-similarity"} | Yunika/muril-sentence-transformer | null | [
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"bert",
"feature-extraction",
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"dataset:embedding-data/QQP_triplets",
"endpoints_compatible",
"region:us"
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #dataset-embedding-data/QQP_triplets #endpoints_compatible #region-us
|
# Yunika/muril-sentence-transformer
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 install... | [
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image-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. -->
# Orin27/food_classifier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-bas... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Orin27/food_classifier", "results": []}]} | Orin27/food_classifier | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T15:38:49+00:00 | [] | [] | TAGS
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| Orin27/food\_classifier
=======================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1714
* Validation Loss: 0.1588
* Train Accuracy: 0.9469
* Epoch: 4
Model description
-------------... | [
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null | null |
This is just an `imatrix` file I created using `groups_merged.txt`:
```
./imatrix --chunks 95 -m c4ai-command-r-plus-f16.gguf -f groups_merged.txt -o c4ai-command-r-plus-f16.imatrix
```
NOTE: 95 chunks is the maximum for `groups_merged.txt` using (recomeneded) default `n_ctx=512`.
---
If you want to use a version ... | {"license": "apache-2.0"} | jukofyork/c4ai-command-r-plus-imatrix | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T15:39:48+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This is just an 'imatrix' file I created using 'groups_merged.txt':
NOTE: 95 chunks is the maximum for 'groups_merged.txt' using (recomeneded) default 'n_ctx=512'.
---
If you want to use a version created from 'URL', use ' URL' from here: URL | [] | [
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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": []} | adammoss/patch-pretrain-mask-4 | null | [
"transformers",
"safetensors",
"patchgpt",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T15:42:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #patchgpt #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 | null | language:
- en
---
## Model Summary
This model is a finetuned version of Microsoft's phi-2 model, using data scraped from Washington and Lee University's website.
| {"license": "mit"} | Marko-suchy/WLU_ChatBot | null | [
"license:mit",
"region:us"
] | null | 2024-04-15T15:43:38+00:00 | [] | [] | TAGS
#license-mit #region-us
| language:
- en
---
## Model Summary
This model is a finetuned version of Microsoft's phi-2 model, using data scraped from Washington and Lee University's website.
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | my-north-ai/whisper-smal-pt | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #whisper #automatic-speech-recognition #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:
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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... | sanggusti/lunar_lander | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T15:45:43+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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] |
token-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": []} | Achuth7Achu/MalNER | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #bert #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | houssemmoslah/mistral_sql_gen6000 | null | [
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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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": []} | Lugaborg/MilonZ | null | [
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|
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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": []} | OwOOwO/dumbo-krillin6 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- 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. -->
# results
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown da... | {"license": "apache-2.0", "tags": ["LLM PA5", "generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "results", "results": []}]} | ShushantLLM/results | null | [
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| results
=======
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8495
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
"### 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: 1",
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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. -->
# urdu-mt0-summarization
This model is a fine-tuned version of [bigscience/mt0-small](https://huggingface.co/bigscience/mt0-small)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "urdu-mt0-summarization", "results": []}]} | mirfan899/urdu-mt0-summarization | null | [
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"tensorboard",
"mt5",
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"license:apache-2.0",
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"text-generation-inference",
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| urdu-mt0-summarization
======================
This model is a fine-tuned version of bigscience/mt0-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 23.8342
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* 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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text-generation | transformers |
# Experiment27pasticheT3q-7B
Experiment27pasticheT3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Experiment27Pastiche-7B)
* [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](htt... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["automerger/Experiment27Pastiche-7B", "chihoonlee10/T3Q-Mistral-Orca-Math-DPO"]} | automerger/Experiment27pasticheT3q-7B | null | [
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"endpoints_compatible",
"text-... | null | 2024-04-15T15:54:43+00:00 | [] | [] | TAGS
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|
# Experiment27pasticheT3q-7B
Experiment27pasticheT3q-7B is an automated merge created by Maxime Labonne using the following configuration.
* automerger/Experiment27Pastiche-7B
* chihoonlee10/T3Q-Mistral-Orca-Math-DPO
## Configuration
## Usage
| [
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text-generation | transformers |

## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | blockblockblock/SauerkrautLM-Qwen-32b-bpw6 | null | [
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"6-bit",
"region:us"
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#transformers #safetensors #qwen2 #text-generation #sft #dpo #conversational #de #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
"### Training procedure:\n\n\n* We trained this model for 2 epochs on 160k data samples with SFT.\n* Afterwards we applied DPO for 1 epoch with 110k data.\n* LaserRMT version coming soon\n\n\nWe teached German language skills on this model. As far as we know, it is the first Qwen 32B model with bilingual skills in ... | [
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text-generation | transformers |

| {"license": "mit"} | jantxu/nano-llama | null | [
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null | transformers |
# Uploaded model
- **Developed by:** hensam92
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | hensam92/wk_model | null | [
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|
# Uploaded model
- Developed by: hensam92
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/sn6_238 | null | [
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
#dataset-used: codeparrot/xlcost-text-to-code
#github notebook: https://github.com/manishzed/LLM-Fine-tune/blob/main/Llama_2_7b_ch... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-chat-hf", "model-index": [{"name": "results", "results": []}]} | kr-manish/Llama-2-7b-chat-fine-tune-text-to-python | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-NousResearch/Llama-2-7b-chat-hf #region-us
| #dataset-used: codeparrot/xlcost-text-to-code
#github notebook: URL
#code
#code
results
=======
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7746
Model description
-----------------
More info... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# Model Card for Model ID
GAI Project 2.b Text summarization
| {"library_name": "transformers", "tags": []} | FelixChao/gpt2-chinese-summary | null | [
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|
# Model Card for Model ID
GAI Project 2.b Text summarization
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text-to-image | diffusers |
# All Disney Princess XL LoRA Model from Ralph Breaks the Internet
<Gallery />
([CivitAI](https://civitai.com/models/212532))
## Model description
<h1 id="heading-45"><strong>All Disney Princess XL LoRA Model - Ralph Breaks the Internet</strong></h1><p>If You Like This Model, Give It a ❤️</p><p>This LoRA model ... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "character", "disney", "disney princess", "disney frozen"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialU... | sWizad/all-disney-princess-xl-lora-model-from-ralph-breaks-the-internet | null | [
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"stable-diffusion",
"lora",
"template:sd-lora",
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"disney frozen",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:other",
"region:us",
"has_space"
] | null | 2024-04-15T16:10:23+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #character #disney #disney princess #disney frozen #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-other #region-us #has_space
|
# All Disney Princess XL LoRA Model from Ralph Breaks the Internet
<Gallery />
(CivitAI)
## Model description
<h1 id="heading-45"><strong>All Disney Princess XL LoRA Model - Ralph Breaks the Internet</strong></h1><p>If You Like This Model, Give It a ️</p><p>This LoRA model is trained on screen capture images fe... | [
"# All Disney Princess XL LoRA Model from Ralph Breaks the Internet \n\n<Gallery />\n\n\n\n(CivitAI)",
"## Model description\n\n<h1 id=\"heading-45\"><strong>All Disney Princess XL LoRA Model - Ralph Breaks the Internet</strong></h1><p>If You Like This Model, Give It a ️</p><p>This LoRA model is trained on screen... | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #migrated #character #disney #disney princess #disney frozen #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-other #region-us #has_space \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. -->
# distilbert-stock-tweet-sentiment-analysis
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-stock-tweet-sentiment-analysis", "results": []}]} | kaustav25/distilbert-stock-tweet-sentiment-analysis | null | [
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"autotrain_compatible",
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| distilbert-stock-tweet-sentiment-analysis
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6240
* Accuracy: 0.7702
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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text-generation | null |
## Llamacpp Quantizations of OpenCerebrum-2.0-7B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2675">b2675</a> for quantization.
Original model: https://huggingface.co/Locutusque/OpenCerebrum-2.0-7B
All quants made using i... | {"language": ["en"], "license": "apache-2.0", "tags": ["open-source", "code", "math", "chemistry", "biology", "text-generation", "question-answering"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/OpenCerebrum-2.0-7B-GGUF | null | [
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"region:us"
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"en"
] | TAGS
#gguf #open-source #code #math #chemistry #biology #text-generation #question-answering #en #license-apache-2.0 #region-us
| Llamacpp Quantizations of OpenCerebrum-2.0-7B
---------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
No chat template specified so ChatML... | [] | [
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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... | UXAIR/LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T16:18:24+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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] |
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. -->
# Hinglish To English
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-small", "model-index": [{"name": "Hinglish To English", "results": []}]} | iPr0x/hinglish-to-english | null | [
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"text2text-generation",
"generated_from_trainer",
"base_model:google/flan-t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T16:19:12+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Hinglish To English
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset.
## Model description
Try this example:
"Translate Hinglish to English: 5 minutes ke liye timer set kare."
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
"# Hinglish To English\n\nThis model is a fine-tuned version of google/flan-t5-small on an unknown dataset.",
"## Model description\n\nTry this example:\n\"Translate Hinglish to English: 5 minutes ke liye timer set kare.\"",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluat... | [
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feature-extraction | transformers | <div align="center">
<h1>基于AIGC的智慧教育舞蹈大模型DanceGLM</h1>
</div>
<img src="assets/DanceGLM.svg" alt="Demo webpage" style="display: block; margin-left: auto; margin-right: auto;">
<img src="assets/img.png" alt="Demo webpage" style="display: block; margin-left: auto; margin-right: auto;">
<img src="assets/img_1.png" alt... | {} | KirkOfficial/DanceGLM | null | [
"transformers",
"safetensors",
"chatglm",
"feature-extraction",
"custom_code",
"region:us"
] | null | 2024-04-15T16:20:00+00:00 | [] | [] | TAGS
#transformers #safetensors #chatglm #feature-extraction #custom_code #region-us
| <div align="center">
<h1>基于AIGC的智慧教育舞蹈大模型DanceGLM</h1>
</div>
<img src="assets/URL" alt="Demo webpage" style="display: block; margin-left: auto; margin-right: auto;">
<img src="assets/URL" alt="Demo webpage" style="display: block; margin-left: auto; margin-right: auto;">
<img src="assets/img_1.png" alt="Demo webpag... | [
"## 安装\n\n我们建议通过 Conda 进行环境管理。\n\n执行以下命令新建一个 conda 环境并安装所需依赖:",
"## 依赖说明",
"## 引用"
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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-fine-tuned-large-v2-company-earnings-call-v0-aws
This model is a fine-tuned version of [openai/whisper-large-v2](https:/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "Whisper-fine-tuned-large-v2-company-earnings-call-v0-aws", "results": []}]} | MasatoShima1618/Whisper-fine-tuned-large-v2-company-earnings-call-v0-aws | null | [
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| Whisper-fine-tuned-large-v2-company-earnings-call-v0-aws
========================================================
This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0017
* Wer: 0.0
Model description
--------------... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | AI-Binder/topic_gen_v1 | null | [
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text-generation | transformers | # Noodlz_DolphLundgren
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using D:\AI\mergekit\Nood... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | Noodlz/IvanDrogo-7B | null | [
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| # Noodlz_DolphLundgren
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using D:\AI\mergekit\Noodlz\Noodlz_DolphinLake-DARE_TIE_SLERP-tokenwest as a base.
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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
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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 generate... | {"library_name": "transformers", "tags": []} | nem012/mistral-7b-it-spider | null | [
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null | transformers |
# Model Card for Model ID
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