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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ciriatico/ner-bert-base-cased-pt-EXTRATO_ADITAMENTO_CONTRATUAL-knedle | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
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null | null | ## starcoder3b-llamafile
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [starcoder2-3b-Q5_K_M.llamafile](https://huggingface.co/raincoder/starcoder3b-llamafile/resolve/main/starcoder2-3b-Q5_K_M.llamaf... | {"tags": ["llamafile", "GGUF"], "base_model": "second-state/StarCoder2-3B-GGUF"} | raincoder/starcoder3b-llamafile | null | [
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| ## starcoder3b-llamafile
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- starcoder2-3b-Q5_K_M.llamafile
This repository was created using the llamafile-builder
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ciriatico/ner-bert-base-cased-pt-AVISO_ANUL_REV_LICITACAO-knedle | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ciriatico/ner-bert-base-cased-pt-EXTRATO_CONVENIO-knedle | null | [
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sentence-similarity | transformers |
# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
> LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fin... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["text-embedding", "embeddings", "information-retrieval", "beir", "text-classification", "language-model", "text-clustering", "text-semantic-similarity", "text-evaluation", "text-reranking", "feature-extraction", "sentence-similarity", "Sent... | McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | alvinxjm/mistral_7b_threat_merged | null | [
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null | null | ## deepseek-coder-1.3b-llamafile
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [deepseek-coder-1.3b-base.Q6_K.llamafile](https://huggingface.co/raincoder/deepseek-coder-1.3b-llamafile/resolve/main/de... | {"tags": ["llamafile", "GGUF"], "base_model": "TheBloke/deepseek-coder-1.3b-base-GGUF"} | raincoder/deepseek-coder-1.3b-llamafile | null | [
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| ## deepseek-coder-1.3b-llamafile
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- deepseek-coder-1.3b-base.Q6_K.llamafile
This repository was created using the llamafile-builder
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/inysqon | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw4 | null | [
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# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ViT_Flower102_4
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "ViT_Flower102_4", "results": []}]} | KietZer0/ViT_Flower102_4 | null | [
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| ViT\_Flower102\_4
=================
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:
* Loss: 0.1042
* Accuracy: 0.9814
* Precision: 0.9814
* Recall: 0.9814
* F1: 0.9814
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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null | null | ## deepseek-coder-1.3b-instruct-llamafile
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [deepseek-coder-1.3b-instruct.Q6_K.llamafile](https://huggingface.co/raincoder/deepseek-coder-1.3b-instruct-lla... | {"tags": ["llamafile", "GGUF"], "base_model": "TheBloke/deepseek-coder-1.3b-instruct-GGUF"} | raincoder/deepseek-coder-1.3b-instruct-llamafile | null | [
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#llamafile #GGUF #base_model-TheBloke/deepseek-coder-1.3b-instruct-GGUF #region-us
| ## deepseek-coder-1.3b-instruct-llamafile
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- deepseek-coder-1.3b-instruct.Q6_K.llamafile
This repository was created using the llamafile-builder
| [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | golemsystems/Llama-2-7b-chat-set2 | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/x82fp0u | 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 | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | xiaoliy2/gemma-2b-tuned | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for alokabhishek/Mistral-7B-Instruct-v0.2-8.0-bpw-exl2
<!-- Provide a quick summary of what the model is/does. -->
This repo contains 8-bit quantized (using ExLlamaV2) model Mistral AI_'s Mistral-7B-Instruct-v0.2
## Model Details
- Model creator: [Mistral AI_](https://huggingface.co/mistralai)
- Orig... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["ExLlamaV2", "8bit", "Mistral", "Mistral-7B", "quantized", "exl2", "8.0-bpw"], "pipeline_tag": "text-generation"} | alokabhishek/Mistral-7B-Instruct-v0.2-8.0-bpw-exl2 | null | [
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|
# Model Card for alokabhishek/Mistral-7B-Instruct-v0.2-8.0-bpw-exl2
This repo contains 8-bit quantized (using ExLlamaV2) model Mistral AI_'s Mistral-7B-Instruct-v0.2
## Model Details
- Model creator: Mistral AI_
- Original model: Mistral-7B-Instruct-v0.2
### About quantization using ExLlamaV2
- ExLlamaV2 git... | [
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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# facebook-bart-cnn-sumsum-finetuned
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebo... | {"language": ["en"], "license": "mit", "tags": ["generated_from_trainer", "dialogue_summarization", "summary", "conversation_summarization"], "datasets": ["samsum"], "base_model": "facebook/bart-large-cnn", "pipeline_tag": "summarization", "model-index": [{"name": "facebook-bart-cnn-sumsum-finetuned", "results": []}]} | StDestiny/facebook-bart-cnn-samsum-finetuned | null | [
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"dataset:samsum",
"base_model:facebook/bart-large-cnn",
"license:mit",
"autotrain_compatible",... | null | 2024-04-04T04:47:20+00:00 | [] | [
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|
# facebook-bart-cnn-sumsum-finetuned
This model is a fine-tuned version of facebook/bart-large-cnn on the samsum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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text-classification | bertopic |
# general-hdscan-april3
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U bertop... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | Thang203/general-hdscan-april3 | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-04T04:47:53+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| general-hdscan-april3
=====================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
Topic o... | [] | [
"TAGS\n#bertopic #text-classification #region-us \n"
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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. -->
# wiki_asp-soccer_player_2425_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "wiki_asp-soccer_player_2425_bart-base", "results": []}]} | baek26/wiki_asp-soccer_player_2425_bart-base | null | [
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|
# wiki_asp-soccer_player_2425_bart-base
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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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. -->
# wiki_asp-soccer_player_8386_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "wiki_asp-soccer_player_8386_bart-base", "results": []}]} | baek26/wiki_asp-soccer_player_8386_bart-base | null | [
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"license:apache-2.0",
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] | null | 2024-04-04T04:48:18+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| wiki\_asp-soccer\_player\_8386\_bart-base
=========================================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3433
* Rouge1: 0.1481
* Rouge2: 0.0462
* Rougel: 0.1234
* Rougelsum: 0.1234
* Gen Len... | [
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text-generation | transformers | [**๐ Homepage**](https://chinese-tiny-llm.github.io) | [**๐ค MAP-CC**](https://huggingface.co/datasets/m-a-p/MAP-CC) | [**๐ค CHC-Bench**](https://huggingface.co/datasets/m-a-p/CHC-Bench) | [**๐ค CT-LLM**](https://huggingface.co/collections/m-a-p/chinese-tiny-llm-660d0133dff6856f94ce0fc6) | [**๐ arXiv**](https://arxiv... | {"license": "apache-2.0", "pipeline_tag": "text-generation"} | m-a-p/CT-LLM-SFT-DPO | null | [
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| Homepage | MAP-CC | CHC-Bench | CT-LLM | arXiv | GitHub
# Introduction
CT-LLM-SFT-DPO is an alignment version of CT-LLM.
The main features of this model is:
1. Our model, an alignment-enhanced variant of CT-LLM-SFT, is trained using DPO, a direct preference-based learning method.
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"# Introduction\nCT-LLM-SFT-DPO is an alignment version of CT-LLM. \nThe main features of this model is:\n1. Our model, an alignment-enhanced variant of CT-LLM-SFT, is trained using DPO, a direct preference-based learning method.\n2. We utilize a combination of publicly available datasets and synthetic data to trai... | [
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text-generation | transformers |
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text-classification | transformers |
# Model Card for Model ID
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sentence-similarity | sentence-transformers |
# kardy04/plugin-embedding-nli-0404
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)
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# kardy04/plugin-embedding-nli-0404
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text-generation | transformers | <!-- header start -->
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null | null | # SEA-LION-7B-Instruct - GGUF
SEA-LION is a collection of Large Language Models (LLMs) which has been pretrained and instruct-tuned for the Southeast Asia (SEA) region.
The sizes of the models range from 3 billion to 7 billion parameters.
SEA-LION-7B-Instruct is a multilingual model which has been fine-tuned with **t... | {"language": ["en", "zh", "vi", "id", "ms", "tl", "my", "th", "lo", "km", "ta"], "license": "mit"} | aisingapore/sea-lion-7b-instruct-gguf | null | [
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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. -->
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text-generation | transformers |
# CT-LLM-SFT
[**๐ Homepage**](https://chinese-tiny-llm.github.io) | [**๐ค MAP-CC**](https://huggingface.co/datasets/m-a-p/MAP-CC) | [**๐ค CHC-Bench**](https://huggingface.co/datasets/m-a-p/CHC-Bench) | [**๐ค CT-LLM**](https://huggingface.co/collections/m-a-p/chinese-tiny-llm-660d0133dff6856f94ce0fc6) | [**๐ arXiv**]... | {} | m-a-p/CT-LLM-SFT | null | [
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# CT-LLM-SFT
Homepage | MAP-CC | CHC-Bench | CT-LLM | arXiv | GitHub
CT-LLM-SFT is an alignment version of CT-LLM-Base.
## Uses
## Disclaimer
This model, developed for academic purposes, employs rigorously compliance-checked training data to uphold the highest standards of integrity and compliance. Despit... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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sentence-similarity | sentence-transformers |
# kardy04/plugin-embedding-nli-sts-0404
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... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | kardy04/plugin-embedding-nli-sts-0404 | null | [
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# kardy04/plugin-embedding-nli-sts-0404
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
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text-classification | transformers |
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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. -->
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-generation | transformers | <!-- header start -->
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null | transformers |
# Model Card for Model ID
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text-generation | transformers | <!-- header start -->
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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. -->
# V0404MP2
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": "V0404MP2", "results": []}]} | Litzy619/V0404MP2 | null | [
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| V0404MP2
========
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: 2.1140
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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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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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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "beomi/open-llama-2-ko-7b", "model-index": [{"name": "qlora-out", "results": []}]} | strongorange/beomi-open-llama-2-ko-7b | null | [
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See axolotl config
axolotl version: '0.4.0'
qlora-out
=========
This model is a fine-tuned version of beomi/open-llama-2-ko-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0393
Model description
---... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AiMavenAi/Mavens-2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "AiMavenAi/Mavens-2", "quantized_by": "mradermacher"} | mradermacher/Mavens-2-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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-----
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sentence-similarity | sentence-transformers |
# Mahedi420/distilroberta-base-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)... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | mahedi420/distilroberta-base-sentence-transformer | null | [
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|
# Mahedi420/distilroberta-base-sentence-transformer
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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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null | transformers |
# Model Card for Model ID
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## Model Details
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ciriatico/ner-bert-base-cased-pt-Ato_Cessao-knedle | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ciriatico/ner-bert-base-cased-pt-Ato_Reversao-knedle | 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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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-teeth_dataset
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-teeth_dataset", "results": [{"task": {"type": "image-classification", "name": "Imag... | Dhyey8/swin-tiny-patch4-window7-224-finetuned-teeth_dataset | null | [
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| swin-tiny-patch4-window7-224-finetuned-teeth\_dataset
=====================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1564
* Accuracy: 0.8391
Model desc... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ino4Dev/firstTrained_llama2 | 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-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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | emaeon/trained_cppbert7 | null | [
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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. -->
# PatchTSMixer_Stock_Data
This model was trained from scratch on an unknown dataset.
It achieves the following results on the eval... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "PatchTSMixer_Stock_Data", "results": []}]} | sujayC66/PatchTSMixer_Stock_Data | null | [
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| PatchTSMixer\_Stock\_Data
=========================
This model was trained from scratch on an unknown dataset.
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* Loss: 3020.0154
* Mse: 905.7340
* Mae: 24.4882
* Mape: 0.0316
* Msle: 0.0014
Model description
-----------------
More information needed
Int... | [
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text-to-image | diffusers | ### penguin on Stable Diffusion via Dreambooth
This your the Stable Diffusion model fine-tuned the penguin concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **<drawing> penguin drawing nft**
You can also train your own concepts and upload them to the library by usin... | {"license": "creativeml-openrail-m", "tags": ["text-to-image"]} | sd-dreambooth-library/penguin | null | [
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| ### penguin on Stable Diffusion via Dreambooth
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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. -->
# chemical_ner_bert_large_uncased
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/go... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-uncased", "model-index": [{"name": "my_pii_model_gpt_2_v2", "results": []}]} | shubhamgantayat/chemical-ner-bert-large-uncased | null | [
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| chemical\_ner\_bert\_large\_uncased
===================================
This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1319
Model description
-----------------
More information needed
Intended uses & ... | [
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null | null | # Unified Scoring model
We build a unified scoring model based on the ReorderData dataset. This model aligns with the convolution- and entropy-based scoring method across all four visual patterns in both binary and continuous matrices and can also measure matrices of varying sizes.
## Quick start
### 1. Download dat... | {"datasets": ["reorderdata/ReorderData"]} | reorderdata/unified_scoring_model | null | [
"dataset:reorderdata/ReorderData",
"region:us"
] | null | 2024-04-04T05:16:04+00:00 | [] | [] | TAGS
#dataset-reorderdata/ReorderData #region-us
| # Unified Scoring model
We build a unified scoring model based on the ReorderData dataset. This model aligns with the convolution- and entropy-based scoring method across all four visual patterns in both binary and continuous matrices and can also measure matrices of varying sizes.
## Quick start
### 1. Download dat... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | emaeon/trained_cppbert8 | 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 | pruna-engine | <!-- header start -->
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![Twitter](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | null | # Deep Reordering Model
The extensive and diverse matrices in ReorderData offer valuable supervision for training a deep reordering model.
By treating the matrices with index swaps as negative samples and their ground-truth matrices as positive samples, we build a deep model for matrix reordering.
## Quick start
##... | {"datasets": ["reorderdata/ReorderData"]} | reorderdata/reordering_model | null | [
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| # Deep Reordering Model
The extensive and diverse matrices in ReorderData offer valuable supervision for training a deep reordering model.
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## Quick start
##... | [
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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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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. -->
# pegasus-samsum
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_da... | {"tags": ["generated_from_trainer"], "base_model": "google/pegasus-cnn_dailymail", "model-index": [{"name": "pegasus-samsum", "results": []}]} | jonghwanbaek1/pegasus-samsum | null | [
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| pegasus-samsum
==============
This model is a fine-tuned version of google/pegasus-cnn\_dailymail on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4104
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw4.4 | null | [
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|
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | [
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text-generation | transformers | # InvestLM
This is the repo for a new financial domain large language model, InvestLM, tuned on [Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1), using a carefully curated instruction dataset related to financial investment. We provide guidance on how to use InvestLM for inference.
Github Link: ... | {"language": ["en"], "license": "llama2", "pipeline_tag": "text-generation"} | yixuantt/InvestLM-mistral-AWQ | null | [
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"region:us"
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] | TAGS
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| # InvestLM
This is the repo for a new financial domain large language model, InvestLM, tuned on Mixtral-8x7B-v0.1, using a carefully curated instruction dataset related to financial investment. We provide guidance on how to use InvestLM for inference.
Github Link: InvestLM
# About AWQ
AWQ is an efficient, accurate, a... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ciriatico/ner-bert-base-cased-pt-Ato_Tornado_Sem_Efeito_Exo_Nom-knedle | 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 | pruna-engine | <!-- header start -->
<!-- 200823 -->
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models her... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Juniplayground/juniper-all-MiniLM-L6-v2-v3 | null | [
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"1910.09700"
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#transformers #safetensors #bert #feature-extraction #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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- License... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/automerger/MeliodasT3qm7-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for t... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": "automerger/MeliodasT3qm7-7B", "quantized_by": "mradermacher"} | mradermacher/MeliodasT3qm7-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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. -->
# thaisum_v2
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "thaisum_v2", "results": []}]} | petchbks01/thaisum_v2 | null | [
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| thaisum\_v2
===========
This model is a fine-tuned version of google-t5/t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6483
* Rouge1: 0.0419
* Rouge2: 0.0194
* Rougel: 0.0415
* Rougelsum: 0.042
* Gen Len: 18.927
Model description
-----------------
More informati... | [
"### 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: 4\n* mixed\\_prec... | [
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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. -->
# results
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an mu... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "results", "results": []}]} | waiman721/fine_tuned_bart-large-cnn_multi_news-alpha | null | [
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|
# results
This model is a fine-tuned version of facebook/bart-large-cnn on an multi_news dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7473
- Rouge1: 34.3769
- Rouge2: 10.9517
- Rougel: 21.1191
- Rougelsum: 27.8459
- Gen Len: 80.835
## Model description
More information needed
## In... | [
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text-generation | transformers | <!-- header start -->
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null | transformers |
# Model Card for Model ID
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text-generation | transformers | ## References
For more information, please refer to our paper and GitHub repository.
Paper: [Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation](https://arxiv.org/abs/2401.16421)
GitHub: [BiPE](https://github.com/zhenyuhe00/BiPE)
Authors: *Zhenyu He\*, Guhao Feng\*, Shengjie Luo\*, ... | {"language": ["en"], "license": "mit"} | hzy00/BiPE_ALiBi-151M | null | [
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
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null | transformers |
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
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sentence-similarity | peft |
# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
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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. -->
# V0404MP3
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": "V0404MP3", "results": []}]} | Litzy619/V0404MP3 | null | [
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| V0404MP3
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
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* Loss: 2.1177
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
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text-generation | transformers | ## References
For more information, please refer to our paper and GitHub repository.
Paper: [Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation](https://arxiv.org/abs/2401.16421)
GitHub: [BiPE](https://github.com/zhenyuhe00/BiPE)
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Paper: Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/NousResearch-Yarn-Mistral-7b-64k-bnb-4bit-smashed | null | [
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"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-04T05:37:16+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #pruna-ai #custom_code #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers |
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta).
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | {"license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | blockblockblock/Starling-LM-10.7B-beta-bpw4.6 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T05:38:13+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Starling-LM-10.7B-beta
This is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.
This model is intended to be used as a drop-in upgrade from the original 7 billion parameter model. | [
"# Starling-LM-10.7B-beta\n\nThis is Starling-LM-10.7B-beta, a depth-upscaled version of Nexusflow/Starling-LM-7B-beta.\n\nThis model is intended to be used as a drop-in upgrade from the original 7 billion parameter model."
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yuiseki/karasu-livejupiter-v0.1 | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T05:40:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | ## References
For more information, please refer to our paper and GitHub repository.
Paper: [Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation](https://arxiv.org/abs/2401.16421)
GitHub: [BiPE](https://github.com/zhenyuhe00/BiPE)
Authors: *Zhenyu He\*, Guhao Feng\*, Shengjie Luo\*, ... | {"language": ["en"], "license": "mit"} | hzy00/ALiBi-151M | null | [
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"text-generation",
"en",
"arxiv:2401.16421",
"license:mit",
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"text-generation-inference",
"region:us"
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"2401.16421"
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"en"
] | TAGS
#transformers #pytorch #llama #text-generation #en #arxiv-2401.16421 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## References
For more information, please refer to our paper and GitHub repository.
Paper: Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
GitHub: BiPE
Authors: *Zhenyu He\*, Guhao Feng\*, Shengjie Luo\*, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang* | [
"## References\nFor more information, please refer to our paper and GitHub repository.\n\nPaper: Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation\n\nGitHub: BiPE\n\nAuthors: *Zhenyu He\\*, Guhao Feng\\*, Shengjie Luo\\*, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwe... | [
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text-generation | transformers | # Lower version of [HyouKan](https://huggingface.co/Alsebay/HyouKan-3x7B). Still testing. | {"license": "cc-by-nc-4.0", "tags": ["moe", "merge", "Roleplay"]} | Alsebay/Hyou-2x7B | null | [
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"region:us"
] | null | 2024-04-04T05:42:47+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #merge #Roleplay #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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] |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/maldv/dragonwar-7b-s1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. F... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["unsloth", "book"], "base_model": "maldv/dragonwar-7b-s1", "quantized_by": "mradermacher"} | mradermacher/dragonwar-7b-s1-GGUF | null | [
"transformers",
"gguf",
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"book",
"en",
"base_model:maldv/dragonwar-7b-s1",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T05:42:53+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #unsloth #book #en #base_model-maldv/dragonwar-7b-s1 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #unsloth #book #en #base_model-maldv/dragonwar-7b-s1 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="pdx97/Taxi-V3_Latest", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-V3_Latest", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.... | pdx97/Taxi-V3_Latest | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-04T05:46:56+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
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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]:** ... | {"license": "apache-2.0", "library_name": "peft", "datasets": ["DIBT/10k_prompts_ranked"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | azarafrooz/mistral-7b-v2-selfplay | null | [
"peft",
"safetensors",
"dataset:DIBT/10k_prompts_ranked",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T05:47:38+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #dataset-DIBT/10k_prompts_ranked #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #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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"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ChanE-666/BERT-8bit | null | [
"transformers",
"safetensors",
"bert",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-04T05:47:50+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #8-bit #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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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. -->
# distilgpt2-0404
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-0404", "results": []}]} | boyan0814/distilgpt2-0404 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T05:47:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| distilgpt2-0404
===============
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5551
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information... | [
"### 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: 3.0",
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text-to-image | diffusers |
# DreamShaperXL_Turbo_v2_1_fix5 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "dream... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/dreamshaperxlturbov21fix5 | null | [
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"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
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#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# DreamShaperXL_Turbo_v2_1_fix5 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "dreamshaperxlturbov21fix5"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Gen... | [
"# DreamShaperXL_Turbo_v2_1_fix5 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"dreamshaperxlturbov21fix5\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTr... | [
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"# DreamShaperXL_Turbo_v2_1_fix5 API Inference\n\n!generated from URL",
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sentence-similarity | peft |
# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
> LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fin... | {"language": ["en"], "license": "mit", "library_name": "peft", "tags": ["text-embedding", "embeddings", "information-retrieval", "beir", "text-classification", "language-model", "text-clustering", "text-semantic-similarity", "text-evaluation", "text-reranking", "feature-extraction", "sentence-similarity", "Sentence Sim... | McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised | null | [
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"Sentence Similarity",
"natu... | null | 2024-04-04T05:48:51+00:00 | [
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# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
> LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fin... | [
"# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders\n\n> LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be furth... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="pdx97/Taxi-V3_Latest_run2", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=Fals... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-V3_Latest_run2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value"... | pdx97/Taxi-V3_Latest_run2 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-04T05:49:18+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="pdx97/Taxi-V3_Latest_run3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=Fals... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-V3_Latest_run3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value"... | pdx97/Taxi-V3_Latest_run3 | null | [
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v45 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T05:51:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# ๐น๐ญ OpenThaiGPT 7b 1.0.0
[More Info](https://openthaigpt.aieat.or.th/)
๐น๐ญ **OpenThaiGPT 7... | {"language": ["th", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["openthaigpt", "llama"], "pipeline_tag": "text-generation"} | openthaigpt/openthaigpt-1.0.0-7b-chat | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T05:52:51+00:00 | [] | [
"th",
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#transformers #safetensors #gguf #llama #text-generation #openthaigpt #th #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ๐น๐ญ OpenThaiGPT 7b 1.0.0
=======================
!OpenThaiGPT
More Info
๐น๐ญ OpenThaiGPT 7b Version 1.0.0 is an advanced 7-billion-parameter Thai language chat model based on LLaMA v2 released on April 8, 2024. It has been specifically fine-tuned for Thai instructions and enhanced by incorporating over 10,000 o... | [
"### System prompt:",
"### Examples",
"#### Single Turn Conversation Example",
"#### Single Turn Conversation with Context (RAG) Example",
"#### Multi Turn Conversation Example",
"##### First turn",
"##### Second turn",
"##### Third turn",
"##### Fourth turn",
"#### Multi Turn Conversation with Co... | [
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audio-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. -->
# heartbeat-detection
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "heartbeat-detection", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "audiofold... | Hemg/heartbeat-detection | null | [
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"audio-classification",
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"dataset:audiofolder",
"base_model:ntu-spml/distilhubert",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T05:53:09+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #hubert #audio-classification #generated_from_trainer #dataset-audiofolder #base_model-ntu-spml/distilhubert #license-apache-2.0 #model-index #endpoints_compatible #region-us
| heartbeat-detection
===================
This model is a fine-tuned version of ntu-spml/distilhubert on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6877
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\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* lr\\_scheduler\\_warmup\\_ratio: ... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["ko", "en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["shangrilar/ko_text2sql", "b-mc2/sql-create-context"], "pipeline_tag": "text-generation"} | haes95/cdlm-7-ko-nl2sql-v1.0 | null | [
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"region:us... | null | 2024-04-04T05:54:30+00:00 | [
"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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #ko #en #dataset-shangrilar/ko_text2sql #dataset-b-mc2/sql-create-context #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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