huggingface_hub (conda): The huggingface_hub is a client library to interact with the Hugging Face Hub. The Hugging Face Hub is a platform with over 35K models, 4K datasets, and 2K 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.  With huggingface_hub, you can easily download and upload models, datasets, and Spaces. You can extract useful information from the Hub, and do much more. Some example use cases:  - Downloading and caching files from a Hub repository. - Creating repositories and uploading an updated model every few epochs. - Extract metadata from all models that match certain criteria (e.g. models for text-classification). - List all files from a specific repository.
Keywords: deep-learning|hacktoberfest|machine-learning|model-hub|models|natural-language-processing|pretrained-models|pytorch