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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": []} | metythorn/donut-cord | null | [
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# Model Card for Model ID
## Model Details
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1-5-finetuned-cazton_complete
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1-5-finetuned-cazton_complete", "results": []}]} | alpdk1394/phi-1-5-finetuned-cazton_complete | null | [
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# phi-1-5-finetuned-cazton_complete
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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null | transformers |
# Uploaded model
- **Developed by:** animaRegem
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | animaRegem/llama-3-lora-malayalam | null | [
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# Uploaded model
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- License: apache-2.0
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | animaRegem/llama-3-lora-malayalam-tokenizer | null | [
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token-classification | spacy | A Named Entity Recognition (NER) model to extract SKILL, EXPERIENCE and BENEFIT from job adverts.
| Feature | Description |
| --- | --- |
| **Name** | `en_skillner` |
| **Version** | `3.7.1` |
| **spaCy** | `>=3.7.4,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner... | {"language": ["en"], "license": "mit", "tags": ["spacy", "token-classification"]} | nestauk/en_skillner | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base_brkfst
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None datase... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base_brkfst", "results": []}]} | JBhug/roberta-base_brkfst | null | [
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| roberta-base\_brkfst
====================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0786
* Accuracy: 0.9811
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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text-to-image | diffusers | AAM XL Anime Mix
Anime Screencap Style Model
Do you like what I do? Consider supporting me on Patreon 🅿️ or feel free to buy me a coffee ☕.
A ❤️, a kind comment or a review is greatly appreciated.
Join my Discord Server
This is essentially derived from AAM AnyLoRA Anime Mix, but it's based on SDXL.
It won't work wit... | {"library_name": "diffusers"} | cookey39/aam_xl | null | [
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#diffusers #safetensors #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
| AAM XL Anime Mix
Anime Screencap Style Model
Do you like what I do? Consider supporting me on Patreon 🅿️ or feel free to buy me a coffee .
A ️, a kind comment or a review is greatly appreciated.
Join my Discord Server
This is essentially derived from AAM AnyLoRA Anime Mix, but it's based on SDXL.
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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_pork_classifier
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "model-index": [{"name": "distilbert_pork_classifier", "results": []}]} | andikazf15/distilbert_pork_classifier | null | [
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| distilbert\_pork\_classifier
============================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0066
* F1: 0.9667
Model description
-----------------
More information needed
Intended uses... | [
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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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | hrusheekeshsawarkar/indic-sentence-bert-nli-matryoshka | null | [
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null | transformers |
# LeroyDyer/Mixtral_AI_Chat_1.0-Q4_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Chat_1.0`](https://huggingface.co/LeroyDyer/Mixtral_AI_Chat_1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "base_model": "LeroyDyer/Mixtral_AI_Chat_2.0"} | LeroyDyer/Mixtral_AI_Chat_1.0-Q4_K_S-GGUF | null | [
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|
# LeroyDyer/Mixtral_AI_Chat_1.0-Q4_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Chat_1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Se... | [
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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": []} | KevinKibe/whisper-c2translate | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RoBERTa_BART_hybrid_V1
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["arrow"], "base_model": "facebook/bart-large", "model-index": [{"name": "RoBERTa_BART_hybrid_V1", "results": []}]} | MikaSie/RoBERTa_BART_hybrid_V1 | null | [
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| RoBERTa\_BART\_hybrid\_V1
=========================
This model is a fine-tuned version of facebook/bart-large on the arrow dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
-------... | [
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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. -->
# RM-helpful_helpful_human_loraR64_20000_gemma2b_lr1e-05_bs2_g4
This model is a fine-tuned version of [google/gemma-2b](https://hu... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-helpful_helpful_human_loraR64_20000_gemma2b_lr1e-05_bs2_g4", "results": []}]} | Holarissun/RM-helpful_helpful_human_loraR64_20000_gemma2b_lr1e-05_bs2_g4 | null | [
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| RM-helpful\_helpful\_human\_loraR64\_20000\_gemma2b\_lr1e-05\_bs2\_g4
=====================================================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6261
* Accuracy: 0.6495
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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": []} | Audino/my-awesome-modelv5-bpara | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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fill-mask | transformers |
# DRAGON BERT base domain-specific
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was pretrained using domain-specific data (i.e., clinical reports) from scratch. The architecture is the same as [`bert-base-multi... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-bert-base-domain-specific | null | [
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| DRAGON BERT base domain-specific
================================
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null | transformers |
# Uploaded model
- **Developed by:** Aryaduta
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | Aryaduta/llm_robot | null | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
zephyr-speakleash-010-pl-3072-32-16-0.01 - GGUF
- Model creator: https://huggingface.co/Nondzu/
- Original model: https://hu... | {} | RichardErkhov/Nondzu_-_zephyr-speakleash-010-pl-3072-32-16-0.01-gguf | null | [
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
zephyr-speakleash-010-pl-3072-32-16-0.01 - GGUF
* Model creator: URL
* Original model: URL
Name: zephyr-speakleash-010-pl-3072-32-16-0.01.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: zephyr-speakleash-010-pl-3072-32-16-0.01.IQ3\_... | [] | [
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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": []} | golf2248/l2u46k7 | null | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mamba-130m-hf - bnb 4bits
- Model creator: https://huggingface.co/state-spaces/
- Original model: https://huggingface.co/sta... | {} | RichardErkhov/state-spaces_-_mamba-130m-hf-4bits | null | [
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#transformers #safetensors #mamba #text-generation #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
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mamba-130m-hf - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
library_name: transformers
tags: []
---
# Mamba
This repository contains the 'transfromers' compatible 'mamba-2.8b'. The checkpoints ar... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mamba-130m-hf - bnb 8bits
- Model creator: https://huggingface.co/state-spaces/
- Original model: https://huggingface.co/sta... | {} | RichardErkhov/state-spaces_-_mamba-130m-hf-8bits | null | [
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#transformers #safetensors #mamba #text-generation #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mamba-130m-hf - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
library_name: transformers
tags: []
---
# Mamba
This repository contains the 'transfromers' compatible 'mamba-2.8b'. The checkpoints ar... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mamba-130m-hf - GGUF
- Model creator: https://huggingface.co/state-spaces/
- Original model: https://huggingface.co/state-sp... | {} | RichardErkhov/state-spaces_-_mamba-130m-hf-gguf | null | [
"gguf",
"region:us"
] | null | 2024-05-03T09:35:42+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mamba-130m-hf - GGUF
* Model creator: URL
* Original model: URL
Name: mamba-130m-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.08GB
Name: mamba-130m-hf.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.09GB
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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": []} | OwOpeepeepoopoo/herewegoagain10 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# D_AU-Tiefighter-Holomax-20B-V1
D_AU-Tiefighter-Holomax-20B-V1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [KoboldAI/LLaMA2-13B-Tiefighter](https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter)
* [KoboldAI/LLaMA2-1... | {"tags": ["merge", "mergekit", "lazymergekit", "KoboldAI/LLaMA2-13B-Tiefighter", "KoboldAI/LLaMA2-13B-Holomax"], "base_model": ["KoboldAI/LLaMA2-13B-Tiefighter", "KoboldAI/LLaMA2-13B-Holomax", "KoboldAI/LLaMA2-13B-Tiefighter", "KoboldAI/LLaMA2-13B-Holomax", "KoboldAI/LLaMA2-13B-Tiefighter", "KoboldAI/LLaMA2-13B-Holomax... | DavidAU/D_AU-Tiefighter-Holomax-20B-V1 | null | [
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|
# D_AU-Tiefighter-Holomax-20B-V1
D_AU-Tiefighter-Holomax-20B-V1 is a merge of the following models using LazyMergekit:
* KoboldAI/LLaMA2-13B-Tiefighter
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* KoboldAI... | [
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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. -->
# vasista_te_small-arthink
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whispe... | {"language": ["te"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["google/fleurs"], "base_model": "openai/whisper-small", "model-index": [{"name": "vasista_te_small-arthink", "results": []}]} | April01524/ref_vasista_telugu_base | null | [
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|
# vasista_te_small-arthink
This model is a fine-tuned version of openai/whisper-small on the Google Fleurs dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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fill-mask | transformers |
# DRAGON RoBERTa base mixed-domain
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was first pretrained using general domain data, as specified [here](https://huggingface.co/xlm-roberta-base). The pretrained model... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-roberta-base-mixed-domain | null | [
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| DRAGON RoBERTa base mixed-domain
================================
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in this paper. The model was first pretrained using general domain data, as specified here. The pretrained model was taken from HuggingFace: ... | [
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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. -->
# phi2-16bit
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi2-16bit", "results": []}]} | uzzivirus/phi2-16bit | null | [
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|
# phi2-16bit
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
The follow... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "orpo"]} | DuongTrongChi/opp | null | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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fill-mask | transformers |
# DRAGON BERT base mixed-domain
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was first pretrained using general domain data, as specified [here](https://huggingface.co/bert-base-multilingual-cased). The pretrai... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-bert-base-mixed-domain | null | [
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| DRAGON BERT base mixed-domain
=============================
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fill-mask | transformers |
# DRAGON RoBERTa large mixed-domain
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was first pretrained using general domain data, as specified [here](https://huggingface.co/xlm-roberta-large). The pretrained mod... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-roberta-large-mixed-domain | null | [
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| DRAGON RoBERTa large mixed-domain
=================================
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fill-mask | transformers |
# DRAGON Longformer base mixed-domain
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was first pretrained using general domain data, as specified [here](https://huggingface.co/allenai/longformer-base-4096). The p... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-longformer-base-mixed-domain | null | [
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| DRAGON Longformer base mixed-domain
===================================
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in this paper. The model was first pretrained using general domain data, as specified here. The pretrained model was taken from Hugging... | [
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fill-mask | transformers |
# DRAGON Longformer large mixed-domain
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was first pretrained using general domain data, as specified [here](https://huggingface.co/allenai/longformer-large-4096). The... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-longformer-large-mixed-domain | null | [
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| DRAGON Longformer large mixed-domain
====================================
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in this paper. The model was first pretrained using general domain data, as specified here. The pretrained model was taken from Huggi... | [
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fill-mask | transformers |
# DRAGON RoBERTa large domain-specific
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was pretrained using domain-specific data (i.e., clinical reports) from scratch. The architecture is the same as [`xlm-roberta... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-roberta-large-domain-specific | null | [
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| DRAGON RoBERTa large domain-specific
====================================
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in this paper. The model was pretrained using domain-specific data (i.e., clinical reports) from scratch. The architecture is the sam... | [
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fill-mask | transformers |
# DRAGON Longformer base domain-specific
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was pretrained using domain-specific data (i.e., clinical reports) from scratch. The architecture is the same as [`allenai/l... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-longformer-base-domain-specific | null | [
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| DRAGON Longformer base domain-specific
======================================
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in this paper. The model was pretrained using domain-specific data (i.e., clinical reports) from scratch. The architecture is the... | [
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fill-mask | transformers |
# DRAGON Longformer large domain-specific
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was pretrained using domain-specific data (i.e., clinical reports) from scratch. The architecture is the same as [`allenai/... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-longformer-large-domain-specific | null | [
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| DRAGON Longformer large domain-specific
=======================================
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in this paper. The model was pretrained using domain-specific data (i.e., clinical reports) from scratch. The architecture is t... | [
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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": []} | cilantro9246/dta0jvx | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | ¿Qué es Candid-ex Pastillas?
Candid-ex tabletas es una innovadora cápsula para bajar de peso formulada con una mezcla única de ingredientes naturales elegidos meticulosamente por sus potentes propiedades para quemar grasa. Elaborado por expertos en el campo de la nutrición y el bienestar, este suplemento está diseñado... | {"license": "apache-2.0"} | Candid-exMexico/Candid-ex | null | [
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| ¿Qué es Candid-ex Pastillas?
Candid-ex tabletas es una innovadora cápsula para bajar de peso formulada con una mezcla única de ingredientes naturales elegidos meticulosamente por sus potentes propiedades para quemar grasa. Elaborado por expertos en el campo de la nutrición y el bienestar, este suplemento está diseñado... | [] | [
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feature-extraction | sentence-transformers | The model is a fine-tuned version of jinaai/jina-embeddings-v2-base-en designed for the following use case:
This model is designed to support various applications in natural language processing and understanding.
## How to Use
This model can be easily integrated into your NLP pipeline for tasks such as text classifica... | {"language": ["en", "en", "en", "en", "en", "en", "en"], "license": "mit", "tags": ["sentence-transformers", "PyTorch", "Core ML", "ONNX", "allenai/c4", "sentence-similarity", "feature-extraction", "Toys", "Children", "Games", "Educational", "Entertainment"], "datasets": ["fine-tuned/jina-embeddings-v2-base-en-03052024... | fine-tuned/jina-embeddings-v2-base-en-03052024-im2p-webapp | null | [
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null | transformers |
# Model Card for Model ID
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null | peft |
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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="cogni-kai/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | cogni-kai/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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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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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. -->
# bengali_news_article_summarization_mt5
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-small", "model-index": [{"name": "bengali_news_article_summarization_mt5", "results": []}]} | fahad1770/bengali_news_article_summarization_mt5 | null | [
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"mt5",
"text2text-generation",
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"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| bengali\_news\_article\_summarization\_mt5
==========================================
This model is a fine-tuned version of google/mt5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2111
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 20\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 160\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-generation | transformers | Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [meta-llama/Meta-Llama-3-70B-Instruct
](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct).
For this quantization, we used 1 codebook of 16 bits.
Results (in progress):
| Model | Quantization | Model size, Gb |
|------|------|------|
|m... | {"library_name": "transformers", "tags": ["llama", "facebook", "meta", "llama-3", "conversational", "text-generation-inference"]} | ISTA-DASLab/Meta-Llama-3-70B-Instruct-AQLM-2Bit-1x16 | null | [
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"autotrain_compatible",
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"region:us"
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"2401.06118"
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#transformers #safetensors #llama #text-generation #facebook #meta #llama-3 #conversational #text-generation-inference #arxiv-2401.06118 #autotrain_compatible #endpoints_compatible #region-us
| Official AQLM quantization of meta-llama/Meta-Llama-3-70B-Instruct
.
For this quantization, we used 1 codebook of 16 bits.
Results (in progress):
Model: meta-llama/Meta-Llama-3-70B-Instruct, Quantization: -, Model size, Gb: 141.2
Model: , Quantization: 1x16, Model size, Gb: 21.9
| [] | [
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] |
other | transformers |
# Chronos-T5 (Tiny)
Chronos is a family of **pretrained time series forecasting models** based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic... | {"license": "apache-2.0", "tags": ["time series", "forecasting", "pretrained models", "foundation models", "time series foundation models", "time-series"], "pipeline_tag": "other"} | shchuro/chronos-t5-tiny-deploy | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints... | null | 2024-05-03T09:47:16+00:00 | [
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#transformers #safetensors #t5 #text2text-generation #time series #forecasting #pretrained models #foundation models #time series foundation models #time-series #other #arxiv-2403.07815 #arxiv-1910.10683 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Chronos-T5 (Tiny)
=================
Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, p... | [] | [
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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": []} | avemio-digital/llama3_entity_extraction_category_adapter_merge | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | andreidima/Mistral-7B-v0.1-Romanian-qlora | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/pwyek3f | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-03T09:48:20+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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... | Whiskas0663/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-03T09:48:40+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | 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. -->
# mal_tam_instruct_trans
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "mal_tam_instruct_trans", "results": []}]} | ArunIcfoss/mal_tam_instruct_trans | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"unsloth",
"generated_from_trainer",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:llama2",
"region:us"
] | null | 2024-05-03T09:49:51+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/llama-3-8b-bnb-4bit #license-llama2 #region-us
|
# mal_tam_instruct_trans
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
"# mal_tam_instruct_trans\n\nThis model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training pro... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_withdpo_3iters_bs256_551lr_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0001_withdpo_3iters_bs256_551lr_iter_2... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_withdpo_3iters_bs256_551lr_iter_2", "model-index": [{"name": "0.0001_withdpo_3iters_bs256_551lr_iter_3", "results": []}]} | ShenaoZ/0.0001_withdpo_3iters_bs256_551lr_iter_3 | null | [
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"license:mit",
"autotrain_compatible",
"endpo... | null | 2024-05-03T09:50:03+00:00 | [] | [] | TAGS
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|
# 0.0001_withdpo_3iters_bs256_551lr_iter_3
This model is a fine-tuned version of ShenaoZ/0.0001_withdpo_3iters_bs256_551lr_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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"## Model description\n\nMore information needed",
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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-v3-company-earnings-call-v0-aws
This model is a fine-tuned version of [openai/whisper-large-v3](https:/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "Whisper-fine-tuned-large-v3-company-earnings-call-v0-aws", "results": []}]} | MasatoShima1618/Whisper-fine-tuned-large-v3-company-earnings-call-v0-aws | null | [
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| Whisper-fine-tuned-large-v3-company-earnings-call-v0-aws
========================================================
This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0602
* Wer: 3.8548
Model description
-------------... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-scene-parse-150
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the ... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["scene_parse_150"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-b0-scene-parse-150", "results": []}]} | MVRonkin/segformer-b0-scene-parse-150 | null | [
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|
# segformer-b0-scene-parse-150
This model is a fine-tuned version of nvidia/mit-b0 on the scene_parse_150 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.22053596377372742
f1_macro: 0.881587062204185
f1_micro: 0.9269375213383407
f1_weighted: 0.9267500134300362
precision_macro: 0.9520135455160805
precision_micro: 0.9269375213383407
precision_weighted: 0.93207273188... | {"tags": ["autotrain", "image-classification"], "datasets": ["autotrain-beit-base-patch16-224/autotrain-data"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.j... | Kushagra07/autotrain-beit-base-patch16-224 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
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f1_micro: 0.9269375213383407
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precision_macro: 0.9520135455160805
precision_micro: 0.9269375213383407
precision_weighted: 0.93207273188... | [
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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="cogni-kai/q-FrozenLake-weird-values", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attrib... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-weird-values", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": "Froz... | cogni-kai/q-FrozenLake-weird-values | null | [
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"reinforcement-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-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-31m_niki-041a_imdb_random-token-1280_10-rounds_seed-2
This model is a fine-tuned version of [EleutherAI/pythia... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_niki-041a_imdb_random-token-1280_10-rounds_seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_niki-041a_imdb_random-token-1280_10-rounds_seed-2 | null | [
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|
# robust_llm_pythia-31m_niki-041a_imdb_random-token-1280_10-rounds_seed-2
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
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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": []} | JetBrains-Research/traj0.1-llama3 | 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):
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text-classification | setfit |
# SetFit with deepset/gbert-large-sts
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [deepset/gbert-large-sts](https://huggingface.co/deepset/gbert-large-sts) as the Sentence Transformer embedding model. A [LogisticRegression](https://s... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "deepset/gbert-large-sts", "widget": [], "pipeline_tag": "text-classification", "inference": true} | tstadel/answer-classification-setfit-v2-binary-german | null | [
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# SetFit with deepset/gbert-large-sts
This is a SetFit model that can be used for Text Classification. This SetFit model uses deepset/gbert-large-sts as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
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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... | Sweety07/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
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. -->
# nash_dpo_merge_iter_real_plus_3
This model is a fine-tuned version of [YYYYYYibo/nash_dpo_merge_iter_3](https://huggingface.co/Y... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "nash_dpo_merge_iter_real_plus_3", "results": []}]} | YYYYYYibo/nash_dpo_merge_iter_real_plus_3 | null | [
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|
# nash_dpo_merge_iter_real_plus_3
This model is a fine-tuned version of YYYYYYibo/nash_dpo_merge_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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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": []} | fmshahata/phi-moe-alt_ | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Uploaded model
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null | transformers |
# Uploaded model
- **Developed by:** dmorrigan
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null | null | <!-- header start -->
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This repo contains GGUF versions of the nvidia/Llama3-ChatQA-1.5-8B model.
--------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
====... | [
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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. -->
# OpenHermes_on_charttotext
This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/tekni... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "model-index": [{"name": "OpenHermes_on_charttotext", "results": []}]} | moetezsa/OpenHermes_on_charttotext | null | [
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# OpenHermes_on_charttotext
This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Lakshit11/BERT-15-categories-retrained-iter2 | 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
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null | transformers |
# Uploaded model
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
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## 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/ngqdlvx | null | [
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# Model Card for Model ID
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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-CodeSwitching-with-all-aug | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# loha_fine_tuned_copa
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/be... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "loha_fine_tuned_copa", "results": []}]} | anzeo/loha_fine_tuned_copa | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #region-us
| loha\_fine\_tuned\_copa
=======================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7712
* Accuracy: 0.52
* F1: 0.5208
Model description
-----------------
More information needed
Intended ... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaPickAndPlace-v3**
This is a trained model of a **A2C** agent playing **PandaPickAndPlace-v3**
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 hugg... | {"library_name": "stable-baselines3", "tags": ["PandaPickAndPlace-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaPickAndPlace-v3", "ty... | lzacchini/a2c-PandaPickAndPlace-v3 | null | [
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#stable-baselines3 #PandaPickAndPlace-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaPickAndPlace-v3
This is a trained model of a A2C agent playing PandaPickAndPlace-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/t9y7z2e | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed] | {"tags": ["pytorch_model_hub_mixin", "model_hub_mixin"]} | BothBosu/cnn-scam-classifier-v1 | null | [
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#transformers #safetensors #pytorch_model_hub_mixin #model_hub_mixin #endpoints_compatible #region-us
|
This model has been pushed to the Hub using the PytorchModelHubMixin integration:
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
c4ai-command-r-v01 - bnb 4bits
- Model creator: https://huggingface.co/CohereForAI/
- Original model: https://huggingface.co... | {} | RichardErkhov/CohereForAI_-_c4ai-command-r-v01-4bits | null | [
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#transformers #safetensors #cohere #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
c4ai-command-r-v01 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
library_name: transformers
language:
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- ko
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- ar
license: cc-by-nc-4.0
---
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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. -->
# mt5.gendered
This model is a fine-tuned version of [samzirbo/mT5.en-es.pretrained](https://huggingface.co/samzirbo/mT5.en-es.pre... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "samzirbo/mT5.en-es.pretrained", "model-index": [{"name": "mt5.gendered", "results": []}]} | samzirbo/mt5.gendered | null | [
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| mt5.gendered
============
This model is a fine-tuned version of samzirbo/URL-es.pretrained on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5115
* Bleu: 38.4985
* Meteor: 0.6605
* Chrf++: 60.6076
Model description
-----------------
More information needed
Intended uses... | [
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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": []} | yleo/OrpoLlama-3-8B | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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- Model type:
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- 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. -->
# Mistral-7B-v0.1_mbe_positive
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["mbe"], "metrics": ["accuracy"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "Mistral-7B-v0.1_mbe_positive", "results": []}]} | retrieval-bar/Mistral-7B-v0.1_mbe_positive | null | [
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#peft #safetensors #generated_from_trainer #dataset-mbe #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| Mistral-7B-v0.1\_mbe\_positive
==============================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the mbe dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0233
* Accuracy: 0.6809
Model description
-----------------
More information needed
Intended uses... | [
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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. -->
# RM-helpful_helpful_gpt4_loraR64_20000_gemma2b_lr1e-05_bs2_g4
This model is a fine-tuned version of [google/gemma-2b](https://hug... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-helpful_helpful_gpt4_loraR64_20000_gemma2b_lr1e-05_bs2_g4", "results": []}]} | Holarissun/RM-helpful_helpful_gpt4_loraR64_20000_gemma2b_lr1e-05_bs2_g4 | null | [
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| RM-helpful\_helpful\_gpt4\_loraR64\_20000\_gemma2b\_lr1e-05\_bs2\_g4
====================================================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0007
* Accuracy: 1.0
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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-hello_pg", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"ty... | jetApril/Reinforce-hello_pg | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
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# 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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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"} | Nour0707/mistral_7b_222 | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | vc64/Mistral7b_combinedQA | 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": []} | golf2248/7w27eet | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mt5.gendered_balanced
This model is a fine-tuned version of [samzirbo/mT5.en-es.pretrained](https://huggingface.co/samzirbo/mT5.... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "samzirbo/mT5.en-es.pretrained", "model-index": [{"name": "mt5.gendered_balanced", "results": []}]} | samzirbo/mt5.gendered_balanced | null | [
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| mt5.gendered\_balanced
======================
This model is a fine-tuned version of samzirbo/URL-es.pretrained on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4866
* Bleu: 39.6812
* Meteor: 0.6692
* Chrf++: 61.3473
Model description
-----------------
More information ne... | [
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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": []} | Kimty/sql_coder_text_v3 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from https://huggingface.co/openai-community/gpt2.
It is being trained on around 400B tokens and this is step 57k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT Lice... | {"license": "apache-2.0"} | DrNicefellow/GPT-2-Large-57k-steps | null | [
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Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from URL
It is being trained on around 400B tokens and this is step 57k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT License. So both should be followed.
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null | null | Imatrix compressions of FP Merge of "D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0".
"Imatrix Plus" is an upgraded form of Imatrix which using full precision for specific parts of the compression.
As a result all compressions will be slightly larger in size than standard 7B compressions.
This method re... | {"license": "mit"} | DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-imat-plus-GGUF | null | [
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"Imatrix Plus" is an upgraded form of Imatrix which using full precision for specific parts of the compression.
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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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null | transformers |
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Mistral-7B-v0.2 - bnb 4bits
- Model creator: https://huggingface.co/mistral-community/
- Original model: https://huggingface... | {} | RichardErkhov/mistral-community_-_Mistral-7B-v0.2-4bits | null | [
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#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
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Mistral-7B-v0.2 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: apache-2.0
---
Conversion process:
1. Download original weights from URL
2. Convert with URL
3. You may need to copy the URL f... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
llama-3-8b-Instruct-bnb-4bit - bnb 4bits
- Model creator: https://huggingface.co/unsloth/
- Original model: https://huggingf... | {} | RichardErkhov/unsloth_-_llama-3-8b-Instruct-bnb-4bit-4bits | null | [
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#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama-3-8b-Instruct-bnb-4bit - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
license: apache-2.0
library\_name: transformers
tags:
* unsloth
* transformer... | [] | [
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null | transformers |
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed] | {"tags": ["pytorch_model_hub_mixin", "model_hub_mixin"]} | BothBosu/gru-scam-classifier-v1 | null | [
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#transformers #safetensors #pytorch_model_hub_mixin #model_hub_mixin #endpoints_compatible #region-us
|
This model has been pushed to the Hub using the PytorchModelHubMixin integration:
- Library:
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feature-extraction | transformers |
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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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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