Hugging Face Transformers Library

Summary

The standard Python library for using and fine-tuning pretrained transformer models — the tool you'll reach for constantly across NLP, and increasingly vision and audio too.

How to Learn This

1Work through the Hugging Face course's core sections on pipelines and fine-tuning.
2Use the `pipeline()` API for a few different tasks before fine-tuning anything.
3Learn to load, fine-tune and save a model with the `Trainer` API.

Sentiment Analysis

Pretrained NLP Models (BERT, RoBERTa)

More topics in Natural Language Processing

Text Preprocessing (Tokenization, Stemming, Lemmatization)Bag of Words & TF-IDF Word Embeddings (Word2Vec, GloVe)Named Entity Recognition Sentiment Analysis Pretrained NLP Models (BERT, RoBERTa)Sequence Classification Text Summarization Question Answering Models

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