Getting Started with NLP Using Hugging Face Transformers in Python
SMRTR summary
Natural Language Processing (NLP) lets computers understand and generate human language, and transformer-based models have become the gold standard for tasks like sentiment analysis, text summarization, and named entity recognition. The Hugging Face Transformers library makes these powerful models accessible in Python with just a few lines of code, using pretrained models like BERT and GPT that can be fine-tuned for specific tasks.
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