Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Quickly train and evaluate AI models for tasks like text classification and question answering with minimal code.
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Free · no card · unsubscribe anytimeTransformers 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.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
simpletransformers is an open-source project. It is released under the Apache-2.0 license.
Yes. simpletransformers is free and open source — you can use, modify and self-host it.
simpletransformers is available under the Apache-2.0 license.
simpletransformers is written mainly in Python.
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