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Idefics2 (from Hugging Face) released with the blog IDEFICS2 by Léo Tronchon, Hugo Laurencon, Victor Sanh. ImageGPT (from OpenAI) released with the paper Generative Pretraining from Pixels by Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, Ilya Sutskever.
Nov 2, 2023 · Hugging Face AI is a platform and community dedicated to machine learning and data science, aiding users in constructing, deploying, and training ML models. It offers the necessary infrastructure for demonstrating, running, and implementing AI in real-world applications. The platform enables users to explore and utilize models and datasets ...
If you are looking for custom support from the Hugging Face team Contents. The documentation is organized into five sections: GET STARTED provides a quick tour of the library and installation instructions to get up and running. TUTORIALS are a great place to start if you’re a beginner. This section will help you gain the basic skills you need ...
Nov 20, 2023 · Hugging Face Transformers offers cutting-edge machine learning tools for PyTorch, TensorFlow, and JAX. This platform provides easy-to-use APIs and tools for downloading and training top-tier pretrained models. Leveraging these pretrained models can significantly reduce computing costs and environmental impact, while also saving the time and ...
www.hugging-face.org
15,000,000 United States dollar (2022) Number of employees. 170 (2023) Website. huggingface .co. Hugging Face, Inc. is a French-American company incorporated under the Delaware General Corporation Law [1] and based in New York City that develops computation tools for building applications using machine learning.
The Hugging Face Hub is a platform with over 120k models, 20k datasets, and 50k demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning.
