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Summary: Getting Hands-On with BERT

Explore how to apply pretrained BERT models by extracting embeddings and fine-tuning them for various NLP tasks such as text classification, natural language inference, named entity recognition, and question answering. Learn practical techniques using the Hugging Face transformers library to build effective NLP solutions.

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Key highlights

Summarized below are the main highlights of what learned in this chapter.

  • We looked at different ...