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Hugging Face Transformers

State-of-the-art machine learning model library

Self-Hosted AI ★ 167.7k stars Hard setup Apache-2.0

Transformers is a widely used library providing pretrained models for text, vision, audio, and multimodal tasks. It supports running and fine-tuning thousands of open models locally with PyTorch.

Official siteSource code

Key features

  • Thousands of pretrained models
  • Text, vision, audio support
  • Fine-tuning tools
  • Large ecosystem

Pros & cons

Strengths

  • Huge pretrained model hub
  • Text, vision, audio support
  • Excellent documentation

Trade-offs

  • Heavy dependency footprint
  • Steep learning curve

Is Hugging Face Transformers secure?

No known vulnerabilities affect Hugging Face Transformers's latest release (v5.19.0). OSV.dev lists 37 past advisories for the project; none of them applies to this release. No known vulnerabilities is not proof of security: it means none have been publicly catalogued.

  • Most recent fixed advisory CVE-2026-80047, published 2026-09-01 (43 days ago)

Source: OSV.dev, checked 2026-10-14. How this is measured.

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SelfHostIndex: 100 · excellent

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