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transformers

Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text, vision, audio, and multimodal tasks.

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# Using Hugging Face Transformers

Transformers is the model-definition framework for state-of-the-art machine learning across text, vision, audio, and multimodal domains. It provides unified APIs for loading pretrained models, running inference, and fine-tuning.

## Table of Contents

- [Core Concepts](#core-concepts)
- [Pipeline API](#pipeline-api)
- [Model Loading](#model-loading)
- [Inference Patterns](#inference-patterns)
- [Fine-tuning with Trainer](#fine-tuning-with-trainer)
- [Working with Modalities](#working-with-modalities)
- [Memory and Performance](#memory-and-performance)
- [Best Practices](#best-practices)