gaphex/bert_experimental
code and supplementary materials for a series of Medium articles about the BERT model
This project offers code and supplementary materials for understanding and experimenting with the BERT model, a powerful tool for natural language processing. It helps data scientists and machine learning engineers learn how to pre-train, fine-tune, and extract features from text data using BERT, providing practical examples from a series of articles. You'll gain insights into using BERT for tasks like building search engines or improving text representations.
No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or machine learning engineer looking for practical code examples and explanations to deeply understand and implement the BERT model for various NLP tasks.
Not ideal if you are looking for a ready-to-use application or a high-level library to perform NLP tasks without needing to understand the underlying BERT model implementation.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 24, 2023
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0
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