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Google ❤️ Open Source AI

Hugging Face x Google Cloud

Welcome to the official Google organization on Hugging Face!

Google collaborates with Hugging Face across open science, open source, cloud, and hardware to enable companies to innovate with AI on Google Cloud AI services and infrastructure with the Hugging Face ecosystem.

Featured Models and Tools

  • Gemma Family of Open Multimodal Models
    • Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models
    • PaliGemma is a versatile and lightweight vision-language model (VLM)
    • CodeGemma is a collection of lightweight open code models built on top of Gemma
    • RecurrentGemma is a family of open language models built on a novel recurrent architecture developed at Google
    • ShieldGemma is a series of safety content moderation models built upon Gemma 2 that target four harm categories
  • BERT, T5, and TimesFM Model Families
  • Author ML models with MaxText, JAX, Keras, Tensorflow, and PyTorch/XLA

Open Research and Community Resources

On-device ML using Google AI Edge

Partnership Highlights and Resources

  • Select Google Cloud CPU, GPU, or TPU options when setting up your Hugging Face Inference Endpoints and Spaces
  • Train and Deploy Hugging Face models on Google Kubernetes Engine (GKE) and Vertex AI directly from Hugging Face model landing pages or from Google Cloud Model Garden
  • Integrate Colab notebooks with Hugging Face Hub via the HF_TOKEN secret manager integration and transformers/huggingface_hub pre-installs
  • Leverage Hugging Face Deep Learning Containers (DLCs) for easy training and deployment of Hugging Face models on Google Cloud infrastructure

Read about our principles for responsible AI at https://ai.google/responsibility/principles