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Hyunwoongko

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Average Model Cost: $0.0000

Number of Runs: 33,066

Models by this creator

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ctrlsum-cnndm

The ctrlsum-cnndm model is a text-to-text generation model that is specifically designed for summarization tasks. It is trained on the CNN/Daily Mail dataset and is designed to generate concise, coherent summaries of news articles. The model uses the Transformer architecture and is fine-tuned using the "ctrl" variant of text-to-text pre-training. It can be used to generate summaries of news articles or other text documents, and has been shown to perform well on summarization tasks.

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21.8K

Huggingface

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asian-bart-ecjk

The asian-bart-ecjk model is a text-to-text generation model that has been fine-tuned using the BART architecture. It can be used to generate coherent and contextually appropriate responses or summaries in various East Asian languages, including Chinese, Japanese, and Korean (ECJK). The fine-tuning process allows the model to better understand the syntax and structure of these languages, making it more effective at producing high-quality text output.

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7.0K

Huggingface

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kobart

No description available.

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$-/run

3.9K

Huggingface

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reddit-3B

No description available.

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$-/run

138

Huggingface

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asian-bart-zh

Platform did not provide a description for this model.

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$-/run

127

Huggingface

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blenderbot-9B

No description available.

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$-/run

66

Huggingface

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asian-bart-en

No description available.

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$-/run

46

Huggingface

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megatron-11B

No description available.

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$-/run

33

Huggingface

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reddit-9B

No description available.

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$-/run

32

Huggingface

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ctrlsum-arxiv

No description available.

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32

Huggingface

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