Pretrained NLP Models (BERT, RoBERTa)

Summary

Encoder-only transformer models pretrained on massive text corpora — the standard foundation for fine-tuning classification, NER and similar 'understanding' tasks.

How to Learn This

1Fine-tune a BERT-family model on a text classification task.
2Learn the difference between BERT's masked-language-model pretraining and GPT's next-token prediction.
3Understand why encoder-only models are typically used for understanding tasks, not generation.

Hugging Face Transformers Library

Sequence Classification

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 Hugging Face Transformers Library Sequence Classification Text Summarization Question Answering Models

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