# Transformers

> Model definitions for state-of-the-art ML models

Hugging Face's Python library with thousands of pretrained models for text, vision, audio and multimodal tasks. It is the common model format used by training and inference tools.

- Source: https://github.com/huggingface/transformers
- Homepage: https://huggingface.co/transformers
- License: Apache-2.0
- Language: Python
- Stars: 166908
- Forks: 34741
- Contributors: 3982
- Last commit: 2026-10-02
- Latest release: v5.18.0 (2026-09-30)
- Purpose: AI & LLM tooling
- Runs on: Library / SDK
- For: Personal, Enterprise

## Worth score: 86/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 25/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 15/15
- Readiness: 11/15

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- [Crawl4AI](https://diggithub.com/unclecode/crawl4ai.md): Web crawler that turns sites into LLM-ready Markdown
- [MarkItDown](https://diggithub.com/microsoft/markitdown.md): Convert Office files and PDFs to Markdown for LLMs
- [Headroom](https://diggithub.com/headroomlabs-ai/headroom.md): Compress tool output before it reaches the LLM
- [Docling](https://diggithub.com/docling-project/docling.md): Get your documents ready for generative AI
- [MemPalace](https://diggithub.com/MemPalace/mempalace.md): Open-source AI memory system
- [llama.cpp](https://diggithub.com/ggml-org/llama.cpp.md): LLM inference in C/C++ on CPUs and GPUs
- [vLLM](https://diggithub.com/vllm-project/vllm.md): High-throughput LLM serving engine

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Source page: https://diggithub.com/huggingface/transformers
Updated: 2026-10-03