- Huggingface documentation. All code and text will be free/open-source, video step-by-step walkthroughs are available as a paid upgrade. For a list of models supported by Hugging Face check out this page. Its versatility and large model hub make it a go-to tool for both Jun 8, 2024 · Inside, we’ll walkthrough every line of code building the text classification project with Hugging Face Datasets, Transformers and Spaces. The same method has been applied to compress GPT2 into DistilGPT2. Aug 13, 2025 · Hugging Face Transformers is an open source library that provides easy access to thousands of machine learning models for natural language processing, computer vision and audio tasks. The documentation is organized in five parts: GET STARTED contains a quick tour, the installation instructions and some useful information about our philosophy and a glossary. While many datasets are public, organizations and individuals can create private datasets to comply with licensing or privacy issues. The Hub makes it simple to find, download, and upload datasets. This documentation focuses on the datasets functionality in the Hugging Face Hub and how to use the datasets with supported libraries. . s2g jp ri5rq p1bsz g2g u3pd fbr 1uo gv5c ez
