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timm
/
vit_pe_lang_large_patch14_448.fb_tiling

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

Instructions to use timm/vit_pe_lang_large_patch14_448.fb_tiling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use timm/vit_pe_lang_large_patch14_448.fb_tiling with timm:

    import timm
    
    model = timm.create_model("hf_hub:timm/vit_pe_lang_large_patch14_448.fb_tiling", pretrained=True)
  • Transformers

    How to use timm/vit_pe_lang_large_patch14_448.fb_tiling with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="timm/vit_pe_lang_large_patch14_448.fb_tiling")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("timm/vit_pe_lang_large_patch14_448.fb_tiling", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vit_pe_lang_large_patch14_448.fb_tiling
2.33 GB
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  • 1 contributor
History: 2 commits
rwightman's picture
rwightman
Add model
b8571a6 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    159 Bytes
    Add model 10 months ago
  • config.json
    603 Bytes
    Add model 10 months ago
  • model.safetensors
    1.17 GB
    xet
    Add model 10 months ago
  • pytorch_model.bin
    1.17 GB
    xet
    Add model 10 months ago