Google

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Welcome to the official Google organization on Hugging Face!

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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.

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Featured Models and Tools

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• Gemma Family of Open Multimodal Models
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  • 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
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  • PaliGemma is a versatile and lightweight vision-language model (VLM)
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  • CodeGemma is a collection of lightweight open code models built on top of Gemma
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  • RecurrentGemma is a family of open language models built on a novel recurrent architecture developed at Google
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  • ShieldGemma is a series of safety content moderation models built upon Gemma 2 that target four harm categories
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• Health AI Developer Foundations
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  • MedGemma A collection of open models for medical image and text comprehension to accelerate building healthcare-based AI applications
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  • MedASR A lightweight automatic speech recognition model pre-trained for medical context.
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  • MedSigLIP MedGemma's vision encoder; can be used like other embedding models for predictive tasks.
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  • TxGemma A collection of open models to accelerate the development of therapeutics
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  • HeAR (TensorFlow, PyTorch) An embedding model for efficiently building AI related to audio originating from the respiratory system
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  • Path Foundation An embedding model for efficiently building AI for histopathology applications
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• BERT, T5, and TimesFM Model Families
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• Author ML models with MaxText, JAX, Keras, Tensorflow, and PyTorch/XLA
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• SynthID is a Google DeepMind technology that watermarks and identifies AI-generated content (🤗 Space)
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Open Research and Community Resources

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• Google Blogs:
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  • https://blog.google/
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  • https://cloud.google.com/blog/
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  • https://deepmind.google/discover/blog/
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  • https://developers.google.com/learn?category=aiandmachinelearning
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  • https://research.google/blog/
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• Notable GitHub Repositories:
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  • https://github.com/google/jax is a Python library for high-performance numerical computing and machine learning
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  • https://github.com/huggingface/Google-Cloud-Containers facilitate the training and deployment of Hugging Face models on Google Cloud
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  • https://github.com/pytorch/xla enables PyTorch on XLA Devices (e.g. Google TPU)
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  • https://github.com/huggingface/optimum-tpu brings the power of TPUs to your training and inference stack
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  • https://github.com/openxla/xla is a machine learning compiler for GPUs, CPUs, and ML accelerators
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  • https://github.com/google/JetStream (and https://github.com/google/jetstream-pytorch) is a throughput and memory optimized engine for large language model (LLM) inference on XLA devices
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  • https://github.com/google/flax is a neural network library for JAX that is designed for flexibility
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  • https://github.com/kubernetes-sigs/lws facilitates Kubernetes deployment patterns for AI/ML inference workloads, especially multi-host inference workloads
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  • https://gke-ai-labs.dev/ is a collection of AI examples, best-practices, and prebuilt solutions
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• Google Research Papers: https://research.google/
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On-device ML using Google AI Edge

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• Customize and run common ML Tasks with low-code MediaPipe Solutions
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• Run pretrained or custom models on-device with Lite RT (previously known as TensorFlow Lite)
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• Convert TensorFlow and JAX models to LiteRT
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• Convert PyTorch models to LiteRT and author high performance on-device LLMs with AI Edge Torch
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• Visualize and debug models with Model Explorer (🤗 Space)
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Partnership Highlights and Resources

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• Select Google Cloud CPU, GPU, or TPU options when setting up your Hugging Face Inference Endpoints and Spaces
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• 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
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• Integrate Colab notebooks with Hugging Face Hub via the HF_TOKEN secret manager integration and transformers/huggingface_hub pre-installs
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• Leverage Hugging Face Deep Learning Containers (DLCs) for easy training and deployment of Hugging Face models on Google Cloud infrastructure
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• Run optimized, zero-configuration inference microservices with Hugging Face Generative AI Services (HUGS) via the Google Cloud Marketplace
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Read about our principles for responsible AI at https://ai.google/responsibility/principles

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Collections 48

TranslateGemma

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  google/translategemma-27b-it

  Image-Text-to-Text • Updated 24 days ago • 18.9k • 318
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  google/translategemma-4b-it

  Image-Text-to-Text • Updated 24 days ago • 115k • 635
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  google/translategemma-12b-it

  Image-Text-to-Text • Updated 24 days ago • 438k • 259

AlphaGenome

Collection of AlphaGenome models.

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  google/alphagenome-all-folds

  Updated 24 days ago • 76
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  google/alphagenome-fold-0

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  google/alphagenome-fold-1

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  google/alphagenome-fold-2

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TranslateGemma

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  google/translategemma-27b-it

  Image-Text-to-Text • Updated 24 days ago • 18.9k • 318
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  google/translategemma-4b-it

  Image-Text-to-Text • Updated 24 days ago • 115k • 635
• 

  google/translategemma-12b-it

  Image-Text-to-Text • Updated 24 days ago • 438k • 259

AlphaGenome

Collection of AlphaGenome models.

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  google/alphagenome-all-folds

  Updated 24 days ago • 76
• 

  google/alphagenome-fold-0

  Updated 24 days ago • 9
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  google/alphagenome-fold-1

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  google/alphagenome-fold-2

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FunctionGemma Tuning Lab

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How to fine-tune FunctionGemma for tool calling

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38

EHR Navigator Agent With MedGemma

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Search and navigate electronic health records

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models 1,076

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google/timesfm-2.5-200m-transformers

Time Series Forecasting • 0.2B • Updated about 17 hours ago • 182 • 6

google/translategemma-4b-it

Image-Text-to-Text • Updated 24 days ago • 115k • 635

google/translategemma-12b-it

Image-Text-to-Text • Updated 24 days ago • 438k • 259

google/translategemma-27b-it

Image-Text-to-Text • Updated 24 days ago • 18.9k • 318

google/alphagenome-fold-3

Updated 24 days ago • 16

google/alphagenome-fold-2

Updated 24 days ago • 8

google/alphagenome-fold-1

Updated 24 days ago • 8

google/alphagenome-fold-0

Updated 24 days ago • 9

google/alphagenome-all-folds

Updated 24 days ago • 76

google/medasr

Automatic Speech Recognition • Updated 26 days ago • 35.4k • 285

View 1,076 models

datasets 66

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google/ConvApparel

Viewer • Updated about 18 hours ago • 1 • 238 • 4

google/WaxalNLP

Viewer • Updated 3 days ago • 2.55M • 10.7k • 141

google/svq

Viewer • Updated 4 days ago • 667k • 1.48k • 40

google/extended_amazon_2023_dataset

Viewer • Updated 28 days ago • 7.47M • 360 • 11

google/wmt24pp

Viewer • Updated 30 days ago • 54.9k • 4.55k • 83

google/MapTrace

Viewer • Updated Jan 3 • 19.8k • 811 • 68

google/mobile-actions

Viewer • Updated Dec 18, 2025 • 9.65k • 2.4k • 241

google/deepsearchqa

Viewer • Updated Dec 17, 2025 • 900 • 3.2k • 101

google/smol

Viewer • Updated Oct 31, 2025 • 798k • 1.89k • 88

google/rfm-rm-as-user-dataset

Viewer • Updated Oct 29, 2025 • 61.8k • 69 • 6

View 66 datasets