Open-source Transformer model library for large language models, text classification, question answering and multimodal applications.
Hugging Face Transformers is a widely used open-source Transformer model library supporting many pre-trained models such as BERT, GPT, T5 and LLaMA. It suits natural language processing, text classification, question answering, summarisation, translation, multimodal models and research prototyping.
Use cases: NLP, large language models, text classification, question answering systems, model fine-tuning
Note: Some models are large; pay attention to GPU memory, RAM and model licences when running them.
