The Transformers library by Hugging Face is the most popular open-source repository for state-of-the-art Natural Language Processing (NLP). It provides a unified API for more than 100,000 pretrained models covering tasks such as text classification, translation, summarization, question answering, text generation, and more. The library supports PyTorch, TensorFlow, and JAX, making it highly versatile for researchers and production use.
With just a few lines of code, users can load powerful transformer-based models like BERT, GPT, T5, RoBERTa, DistilBERT, BLOOM, LLaMA, Falcon, Mistral, and many more.
Key Features
? Multi-framework support:
Use models with PyTorch, TensorFlow, or JAX/Flax.
? 100,000+ Pretrained Models:
Access models trained for multiple tasks and languages.
? Model Hub Integration:
Direct integration with huggingface.co to download, upload, or share models.
⚡ High Performance Inference:
Supports ONNX, TorchScript, and accelerated runtimes (e.g., TGI, Optimum).
? State-of-the-art NLP Tasks:
Text generation
Summarization
Translation
Question answering
Text classification
Named Entity Recognition (NER)
Sentence similarity
Conversational AI (chatbots)
Multimodal tasks (text + vision/audio)
? Active Community & Ecosystem:
Integrated with Datasets, Tokenizers, Accelerate, PEFT, Diffusers, and more.
? Extensive Documentation & Tutorials
Easy for beginners and robust for researchers and production use.
Android DevHub
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