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#model-hub

Every item tagged model-hub, newest first.

6 items

otherOct 22

Hugging Face and VirusTotal collaborate to strengthen AI security

Hugging Face and VirusTotal are collaborating to improve AI model security. They will integrate VirusTotal's threat intelligence with Hugging Face's model hub to detect and mitigate potential security risks. This partnership aims to provide a more secure environment for AI model development and deployment. You can expect better protection against malicious models and more transparency in the AI security process.

Key takeaways
  • Hugging Face and VirusTotal are partnering on AI security.
  • The partnership integrates threat intelligence with Hugging Face's model hub.
  • The goal is to detect and mitigate security risks in AI models.
HHugging Face Blog#ai-security#model-hub#partnerships
otherFeb 14

Welcome Fireworks.ai on the Hub 🎆

Fireworks.ai has joined Hugging Face Hub, bringing their models and expertise to the platform. This partnership enables developers to access Fireworks.ai's models and integrate them into their applications. Builders can now explore new models and capabilities on the Hub. The addition expands the range of available models for various use cases.

Key takeaways
  • Fireworks.ai models are now available on Hugging Face Hub.
  • Developers can integrate Fireworks.ai models into their applications.
  • Expanded model offerings on the Hub for various use cases.
HHugging Face Blog#hugging-face#open-source#model-hub
otherJul 29

Serverless Inference with Hugging Face and NVIDIA NIM

Hugging Face and NVIDIA are collaborating on serverless inference solutions using NVIDIA's NIM microservices. This integration allows developers to deploy and manage models on NVIDIA DGX Cloud infrastructure. You can use Hugging Face's model hub to deploy models with optimized performance on NVIDIA hardware. The partnership aims to simplify AI deployment and management for builders.

Key takeaways
  • Hugging Face and NVIDIA partner for serverless inference.
  • Integration with NVIDIA DGX Cloud for model deployment.
  • Optimized performance on NVIDIA hardware via Hugging Face model hub.
HHugging Face Blog#serverless-inference#model-hub#nvidia#hugging-face
otherJun 19

Going multimodal: How Prezi is leveraging the Hub and the Expert Support Program to accelerate their ML roadmap

Prezi uses Hugging Face's Hub and Expert Support Program to accelerate their multimodal ML roadmap. They access thousands of open-source models and get expert guidance to integrate ML into their presentation platform. This partnership enables Prezi to leverage cutting-edge ML capabilities without building models from scratch.

Key takeaways
  • Prezi accesses 10000+ open-source models via Hugging Face Hub.
  • Expert Support Program provides guidance on ML integration.
  • Partnership accelerates Prezi's multimodal ML development.
HHugging Face Blog#multimodal-ml#open-source#model-hub
otherMar 23

Jupyter X Hugging Face

Jupyter and Hugging Face have partnered to integrate the Hugging Face Hub directly into Jupyter notebooks. This integration allows users to access and deploy AI models from within their notebooks. The partnership aims to streamline workflows for data scientists and machine learning engineers. You can now search, download, and use models without leaving the Jupyter environment.

Key takeaways
  • Hugging Face Hub integrated into Jupyter notebooks.
  • Streamlines workflows for data scientists and ML engineers.
  • Enables in-notebook model search and deployment.
HHugging Face Blog#jupyter#hugging-face#model-hub#integration
otherMay 6

Welcome fastai to the Hugging Face Hub

The fastai library is now integrated with the Hugging Face Hub, allowing users to easily access and share models and data. This integration enables fastai users to leverage the Hugging Face ecosystem. You can now seamlessly upload, download, and manage fastai models on the Hub. The partnership aims to foster collaboration and accelerate AI development.

Key takeaways
  • fastai models are now on Hugging Face Hub.
  • Users can upload, download, and manage fastai models seamlessly.
  • Integration aims to accelerate AI development through collaboration.
HHugging Face Blog#hugging-face#fastai#model-hub