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timm
/
gemma4_vit_167m.gemma4_e4b_it

Image Feature Extraction
timm
Safetensors
Transformers
Model card Files Files and versions
xet
Community

Instructions to use timm/gemma4_vit_167m.gemma4_e4b_it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use timm/gemma4_vit_167m.gemma4_e4b_it with timm:

    import timm
    
    model = timm.create_model("hf_hub:timm/gemma4_vit_167m.gemma4_e4b_it", pretrained=True)
  • Transformers

    How to use timm/gemma4_vit_167m.gemma4_e4b_it with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="timm/gemma4_vit_167m.gemma4_e4b_it")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("timm/gemma4_vit_167m.gemma4_e4b_it", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gemma4_vit_167m.gemma4_e4b_it
670 MB
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  • 1 contributor
History: 2 commits
rwightman's picture
rwightman
Add model
2eceff9 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5.13 kB
    Add model 3 months ago
  • config.json
    670 Bytes
    Add model 3 months ago
  • model.safetensors
    670 MB
    xet
    Add model 3 months ago