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timm
/
vit_base_patch32_clip_224.datacompxl

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

Instructions to use timm/vit_base_patch32_clip_224.datacompxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use timm/vit_base_patch32_clip_224.datacompxl with timm:

    import timm
    
    model = timm.create_model("hf_hub:timm/vit_base_patch32_clip_224.datacompxl", pretrained=True)
  • Transformers

    How to use timm/vit_base_patch32_clip_224.datacompxl with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="timm/vit_base_patch32_clip_224.datacompxl")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("timm/vit_base_patch32_clip_224.datacompxl", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vit_base_patch32_clip_224.datacompxl
703 MB
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  • 2 contributors
History: 3 commits
pcuenq's picture
pcuenq HF Staff
transformers tag
739ba9f verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    268 Bytes
    transformers tag over 1 year ago
  • config.json
    621 Bytes
    Add model over 1 year ago
  • model.safetensors
    351 MB
    xet
    Add model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    351 MB
    xet
    Add model over 1 year ago