transformers

Topics in the source

• Transformers
• Overview
• Installation
• Authentication
• Quick Start
• Core Capabilities
• 1. Pipelines for Quick Inference
• 2. Model Loading and Management

The Hugging Face Transformers library provides access to thousands of pre-trained models for tasks across NLP, computer vision, audio, and multimodal domains. Use this skill to load models, perform inference, and fine-tune on custom data. Install transformers and core dependencies: For vision tasks, add: For audio tasks, add: Many models on the Hugging Face Hub require authentication. Set up access: Or set environment variable: Get tokens at: https://huggingface.co/settings/tokens Use the Pipeline API for fast inference without manual configuration: Use for simple, optimized inference across many tasks. Supports text generation, classification, NER, question answering, summarization, translation, image classification, object detection, audio classification, and more. When to use: Quick prototyping, simple inference tasks, no custom preprocessing needed. See references/pipelines.md for comprehensive task coverage and optimization. Load pre-trained models with fine-grained control over configuration, device placement, and precision. When to use: Custom model initialization, advanced device management, model inspection. See references/models.md for loading patterns and best practices.

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