library

Hugging Face Transformers

Hugging Face Transformers is an open-source Python library that provides state-of-the-art pre-trained models for natural language processing (NLP) and computer vision tasks. It offers a unified API for accessing thousands of models, including BERT, GPT, T5, and Vision Transformers, enabling easy fine-tuning and deployment. The library supports multiple deep learning frameworks like PyTorch, TensorFlow, and JAX.

Also known as: Transformers, HuggingFace Transformers, HF Transformers, Huggingface, Transformers library
🧊Why learn Hugging Face Transformers?

Developers should learn Hugging Face Transformers when working on NLP projects such as text classification, translation, summarization, or question-answering, as it simplifies model implementation and reduces development time. It's essential for AI/ML engineers and data scientists who need to leverage pre-trained models for rapid prototyping and production applications, especially in industries like tech, healthcare, and finance where NLP is critical.

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