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Transformers

HuggingFace's Transformers library providing state-of-the-art pre-trained models for NLP, computer vision, and audio tasks with easy fine-tuning capabilities.

Transformers

HuggingFace's flagship library providing thousands of pre-trained models for natural language processing, computer vision, and multimodal tasks. The industry standard for working with transformer architectures.

Key Features

  • Pre-trained Models: Access to BERT, GPT, T5, Llama, and thousands more
  • Easy Fine-tuning: Simple APIs for model adaptation
  • Multi-framework: Works with PyTorch, TensorFlow, and JAX
  • Tokenizers: Fast and efficient tokenization
  • Trainer API: Simplified training loops

My Experience

Used extensively for LLM fine-tuning, working with base models like GPT-Neo, Llama, and QWEN, and developing custom encoder architectures for astronomical data analysis.