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This CodeTrans model is based on the t5-large model. It has its own SentencePiece vocabulary model. It used multi-task training on 13 supervised tasks.

Summarization creates a shorter version of a document or an article that captures all the important information.

18 янв. 2024 г. · CodeT5-base model fine-tuned on CodeSearchNet data in a multi-lingual training setting ( Ruby/JavaScript/Go/Python/Java/PHP) for code summarization.

In this colab, we will see an end to end pipeline, using Hugging Face Transformers Library, Microsoft's Open Source Large Scale code model CodeBERT, and Codist ...

"Whether to trust the execution of code from datasets/models defined on the Hub." " This option should only be set to `True` for repositories you trust and in ...

This CodeTrans model is based on the t5-small model. It has its own SentencePiece vocabulary model. It used multi-task training on 13 supervised tasks.

28 февр. 2024 г. · In this article, I'll walk you through what a summarizer is, its use cases, what Hugging Face Transformers are, and how you can build your own text summarizer ...

7 мая 2024 г. · Text summarization is a powerful feature provided by Hugging Face Transformers. It allows us to generate a concise summary from a large body of text.

Продолжительность: 13:04
Опубликовано: 26 февр. 2024 г.