happy-transformer
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Easily adjust and use language models for various text tasks like classification and generation.
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Free · no card · unsubscribe anytimeHappy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
happy-transformer has 548 stars on GitHub. It has been forked 69 times. happy-transformer is written mainly in Python. It has been in active development since 2019. happy-transformer is available under the Apache-2.0 license. Its main topics are ai, artificial-intelligence, bert, deep-learning.
What is happy-transformer?
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Is happy-transformer open source?
happy-transformer is an open-source project. It is released under the Apache-2.0 license.
Is happy-transformer free?
Yes. happy-transformer is free and open source — you can use, modify and self-host it.
What license does happy-transformer use?
happy-transformer is available under the Apache-2.0 license.
What language is happy-transformer written in?
happy-transformer is written mainly in Python.
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