Official BERT #TensorFlow code + pre-trained models released by Google AI Language
BERT is method of pre-training language representations, meaning that we train a general-purpose "language understanding" model on a large text corpus (like Wikipedia), and then use that model for downstream #NLP tasks that we care about (like question answering). #BERT outperforms previous methods because it is the first unsupervised, deeply #bidirectional system for pre-training NLP.
https://github.com/google-research/bert/blob/master/README.md
🙏Thanks to: @cyberbully_gng
BERT is method of pre-training language representations, meaning that we train a general-purpose "language understanding" model on a large text corpus (like Wikipedia), and then use that model for downstream #NLP tasks that we care about (like question answering). #BERT outperforms previous methods because it is the first unsupervised, deeply #bidirectional system for pre-training NLP.
https://github.com/google-research/bert/blob/master/README.md
🙏Thanks to: @cyberbully_gng
GitHub
bert/README.md at master · google-research/bert
TensorFlow code and pre-trained models for BERT. Contribute to google-research/bert development by creating an account on GitHub.