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#model-sharing

Every item tagged model-sharing, newest first.

3 items

otherMar 4

Hugging Face and JFrog partner to make AI Security more transparent

Hugging Face and JFrog have partnered to improve AI model security and transparency. The collaboration aims to enable secure model sharing and deployment across various environments. This integration allows developers to access and deploy AI models with enhanced security features. You can now track model provenance and vulnerabilities throughout the development lifecycle.

Key takeaways
  • Hugging Face and JFrog partner on AI security.
  • Partnership focuses on secure model sharing and deployment.
  • Integration enhances model provenance and vulnerability tracking.
otherJul 10

Announcing New Hugging Face and KerasHub integration

Hugging Face and KerasHub have integrated to enable seamless model sharing and deployment. The integration allows users to easily share and deploy models across both platforms. This collaboration aims to streamline the model development and deployment process for builders. You can now access and deploy models from KerasHub directly within Hugging Face.

Key takeaways
  • Hugging Face and KerasHub are now integrated for model sharing.
  • The integration enables easy model deployment across platforms.
  • Model developers can now access and deploy models from KerasHub within Hugging Face.
otherJan 17

Welcome PaddlePaddle to the Hugging Face Hub

The PaddlePaddle framework is now integrated with the Hugging Face Hub, allowing users to easily discover, download, and use PaddlePaddle models. This integration enables seamless model sharing and collaboration between the PaddlePaddle and Hugging Face communities. Builders can now access a wider range of models and tools. The move expands the ecosystem for open-source AI.

Key takeaways
  • PaddlePaddle models are now on the Hugging Face Hub.
  • Enables easy discovery and download of PaddlePaddle models.
  • Facilitates collaboration between PaddlePaddle and Hugging Face communities.