soskek/bert-chainer
Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
This project helps developers working with Chainer to use Google's pre-trained BERT models for various natural language tasks. It takes Google's BERT models (originally in TensorFlow format) and converts them into a Chainer-compatible format. Developers can then use these models for tasks like classifying sentences, answering questions, or extracting semantic features from text.
224 stars. No commits in the last 6 months.
Use this if you are a machine learning developer familiar with Chainer and want to integrate powerful, pre-trained BERT models into your natural language processing applications without rebuilding them from scratch.
Not ideal if you are looking to pre-train new BERT models on custom datasets or require multilingual BERT support, as these features are not implemented.
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Python
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Last pushed
Nov 09, 2019
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