osainz59/t5-encoder
A extension of Transformers library to include T5ForSequenceClassification class.
This project offers a way for machine learning developers to use the T5 model for specific text analysis tasks where only understanding, not generating text, is needed. It takes text data as input and outputs classifications (e.g., sentiment, topic) or named entity recognitions (e.g., people, places). This tool is for AI engineers and researchers working on natural language processing applications.
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Use this if you are a machine learning developer familiar with the Hugging Face Transformers library and want to leverage T5's powerful encoder for text classification or token classification tasks.
Not ideal if you are a non-developer or need T5's text generation capabilities, as this focuses specifically on its encoder-only functionality.
Stars
40
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 17, 2023
Commits (30d)
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