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  1. We also feature a deep integration with the Hugging Face Hub, allowing you to easily load and share a dataset with the wider machine learning community. Find your dataset today on the Hugging Face Hub, and take an in-depth look inside of it with the live viewer.

  2. We’re on a journey to advance and democratize artificial intelligence through open source and open science.

  3. In this tutorial, you will learn two methods for sharing a trained or fine-tuned model on the Model Hub: Programmatically push your files to the Hub. Drag-and-drop your files to the Hub with the web interface. Navigating the Model Hub. To share a model with the community, you need an account on huggingface.co.

  4. In a lot of cases, you must be authenticated with a Hugging Face account to interact with the Hub: download private repos, upload files, create PRs,… Create an account if you don’t already have one, and then sign in to get your User Access Token from your Settings page. The User Access Token is used to authenticate your identity to the Hub.

  5. Aug 3, 2022 · 1. What is the Hugging Face Hub? Before diving into the Private Hub, let's first take a look at the Hugging Face Hub, which is a central part of the PH. The Hugging Face Hub offers over 60K models, 6K datasets, and 6K ML demo apps, all open source and publicly available, in an online platform where people can easily collaborate and build ML ...

  6. python.langchain.com › platforms › huggingfaceHugging Face | ️ LangChain

    The Hugging Face Hub is a platform with over 350k models, 75k datasets, and 150k demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together. The Hub works as a central place where anyone can explore, experiment, collaborate, and build technology with Machine Learning.

  7. The Hugging Face Hub hosts many models for a variety of machine learning tasks. Models are stored in repositories, so they benefit from all the features possessed by every repo on the Hugging Face Hub. Additionally, model repos have attributes that make exploring and using models as easy as possible.

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