Kashgari
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Build advanced text processing models for tasks like text classification and entity recognition using a simple framework.
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Kashgari has 2.4k stars on GitHub. It has been forked 431 times. Kashgari is written mainly in Python. It has been in active development since 2019. Kashgari is available under the Apache-2.0 license. Its main topics are bert, bert-model, gpt-2, machine-learning.
What is Kashgari?
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Is Kashgari open source?
Kashgari is an open-source project. It is released under the Apache-2.0 license.
Is Kashgari free?
Yes. Kashgari is free and open source — you can use, modify and self-host it.
What license does Kashgari use?
Kashgari is available under the Apache-2.0 license.
What language is Kashgari written in?
Kashgari is written mainly in Python.
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