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State-of-the-art pretrained models for inference and training
Transformers acts as the model-definition framework for state-of-the-art machine learning with text, computer
vision, audio, video, and multimodal models, for both inference and training.
It centralizes the model definition so that this definition is agreed upon across the ecosystem.
transformers
is the
pivot across frameworks: if a model definition is supported, it will be compatible with the majority of training
frameworks (Axolotl, Unsloth, DeepSpeed, FSDP, PyTorc (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/huggingface/transformers)获取最准确的信息。

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🔗 **原文链接**: [huggingface/transformers (⭐ 69 stars today)](https://github.com/huggingface/transformers)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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🐾 **小九锐评**

这篇文章来自GitHub Trending，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 GitHub Trending，内容版权归原作者所有_

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⏱️ 2026-08-11 22:01