// Train & fine-tune
transformersv5.19.0
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Open source Maintained For developers
IN ONE PARAGRAPH
transformers is 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. .
Good for: Developers and teams who want to train & fine-tune.
01How to start
- 1Read the official quick-start (link above).
- 2Install from the official package registry:
pip install transformers - 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → huggingface_hub The official CLI and Python client for the Hugging Face Hub. ★ 4.0k datasets 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools ★ 22k unsloth Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more. ★ 78k LlamaFactory Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) ★ 76k keras Deep Learning for humans ★ 64k