Integrations / Hugging Face

Hugging Face Repository

Create a single system of record for ML models that brings ML/AI development in line with your existing SSC. JFrog Artifactory now natively supports ML Models including the ability to proxyRead More >

Hugging Face, a leading model hub. Manage your ML models and all their associated files alongside the PyPi packages, Conan Libraries, and Docker Images that will ultimately comprise your AI enabled application. Read Less >

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Hugging Face Integration Features

Remote Hugging Face Repositories

Cache Open Source models from Hugging Face in a JFrog Artifactory Remote Hugging Face repo, protecting the models you rely on from deletion or modification.

Local Hugging Face Repositories

Store and manage proprietary and internally-augmented ML and GenAI models with scalability to support massive binary files

ML Model Scanning

Detect and block malicious models and those with non-compliant licenses.

Governance

Full control and governance over which models are brought into and leveraged by the ML/data science organization in anticipation of inevitable regulations to come

Hugging Face FAQ

What file formats does JFrog support for models?

JFrog supports all file formats (i.e. Pickle, ONNX) and frameworks as a derivative of Hugging Face.

Do JFrog Hugging Face local repositories support federation?

Yes, the model and data files will be included in federations.

Does JFrog act as a machine learning model repository or registry?

JFrog serves as a ML Model registry with all the benefits of Artifactory and Xray applied to an organization’s models.

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About Hugging Face

Hugging Face is the leading platform for sharing and deploying machine learning models, often called the "GitHub of machine learning." With thousands of open-source models and datasets available, it enables developers to easily integrate state-of-the-art AI capabilities into their applications through its comprehensive APIs and tools.
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