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Hugging Face Transformers - AI SDKs Tool

Overview

Hugging Face Transformers is an SDK and GitHub-hosted repository of pretrained models for text, vision, audio, video, and multimodal tasks. It provides tools for both inference and fine-tuning to support a wide range of generative AI applications.

Key Features

  • Pretrained models for text, vision, audio, video, and multimodal tasks
  • APIs and utilities for inference and fine-tuning
  • Hosted on GitHub with code examples and documentation
  • Designed to support many generative AI use cases
  • Library-style SDK for integrating models into applications

Ideal Use Cases

  • Fine-tune language models for custom NLP tasks
  • Generate text for chatbots, content, and summarization
  • Build vision-and-language systems, e.g., image captioning
  • Process audio and video for transcription or analysis
  • Prototype multimodal research and production workflows

Getting Started

  • Open the project's GitHub repository
  • Read the README and quickstart examples
  • Install the package per repository instructions
  • Select a pretrained model that matches your task
  • Run example scripts to validate inference locally
  • Follow repository fine-tuning guides to adapt models

Pricing

No pricing information provided in the provided tool data.

Key Information

  • Category: SDKs
  • Type: AI SDKs Tool
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