Issues Huggingface Transformers Github

There was an error while loading. Please reload this page. and get access to the augmented documentation experience Sometimes errors occur, but we are here to help! This guide covers some of the most common issues we’ve seen and how you can resolve them. However, this guide isn’t meant to be a comprehensive collection of every 🤗 Transformers issue.

For more help with troubleshooting your issue, try: Create an Issue on the 🤗 Transformers repository if it is a bug related to the library. Try to include as much information describing the bug as possible to help us better figure out what’s wrong and how we can fix it. Check the Migration guide if you use an older version of 🤗 Transformers since some important changes have been introduced between versions. For more details about troubleshooting and getting help, take a look at Chapter 8 of the Hugging Face course. Communities for your favorite technologies.

Explore all Collectives Ask questions, find answers and collaborate at work with Stack Overflow Internal. Ask questions, find answers and collaborate at work with Stack Overflow Internal. Explore Teams Find centralized, trusted content and collaborate around the technologies you use most. Connect and share knowledge within a single location that is structured and easy to search.

English | 简体中文 | 繁體中文 | 한국어 | Español | 日本語 | हिन्दी | Русский | Português | తెలుగు | Français | Deutsch | Italiano | Tiếng Việt | العربية | اردو | বাংলা... 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, PyTorch-Lightning, ...), inference engines (vLLM, SGLang, TGI, ...),... We pledge to help support new state-of-the-art models and democratize their usage by having their model definition be simple, customizable, and efficient.

Powered by Discourse, best viewed with JavaScript enabled There was an error while loading. Please reload this page. 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - huggingface/transformers Communities for your favorite technologies.

Explore all Collectives Ask questions, find answers and collaborate at work with Stack Overflow Internal. Ask questions, find answers and collaborate at work with Stack Overflow Internal. Explore Teams Find centralized, trusted content and collaborate around the technologies you use most. Connect and share knowledge within a single location that is structured and easy to search.

There was an error while loading. Please reload this page. I am running a DPO training script on google colab and when I run the cell dpo_trainer.train() I want it to perform DPO training with the google colab on my custom dataset. and get access to the augmented documentation experience Everyone is welcome to contribute, and we value everybody’s contribution.

Code contributions are not the only way to help the community. Answering questions, helping others, and improving the documentation are also immensely valuable. It also helps us if you spread the word! Reference the library in blog posts about the awesome projects it made possible, shout out on Twitter every time it has helped you, or simply ⭐️ the repository to say thank you. However you choose to contribute, please be mindful and respect our code of conduct. This guide was heavily inspired by the awesome scikit-learn guide to contributing.

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