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simpletransformers
Python

simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

by ThilinaRajapakse · GitHub
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conversational-aiinformation-retrivalnamed-entity-recognitionApache-2.0Python
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Quickly train and evaluate AI models for tasks like text classification and question answering with minimal code.

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2026-07-072026-08-31
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Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

simpletransformers has 4.3k stars on GitHub. It has been forked 713 times. simpletransformers is written mainly in Python. It has been in active development since 2019. simpletransformers is available under the Apache-2.0 license. Its main topics are conversational-ai, information-retrival, named-entity-recognition, question-answering.

Frequently asked questions

What is simpletransformers?

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Is simpletransformers open source?

simpletransformers is an open-source project. It is released under the Apache-2.0 license.

Is simpletransformers free?

Yes. simpletransformers is free and open source — you can use, modify and self-host it.

What license does simpletransformers use?

simpletransformers is available under the Apache-2.0 license.

What language is simpletransformers written in?

simpletransformers is written mainly in Python.

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