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mwalmsley
/
baseline-encoder-regression-maxvit_base

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

Instructions to use mwalmsley/baseline-encoder-regression-maxvit_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use mwalmsley/baseline-encoder-regression-maxvit_base with timm:

    import timm
    
    model = timm.create_model("hf_hub:mwalmsley/baseline-encoder-regression-maxvit_base", pretrained=True)
  • Transformers

    How to use mwalmsley/baseline-encoder-regression-maxvit_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="mwalmsley/baseline-encoder-regression-maxvit_base")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mwalmsley/baseline-encoder-regression-maxvit_base", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
baseline-encoder-regression-maxvit_base
925 MB
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  • 1 contributor
History: 2 commits
mwalmsley's picture
mwalmsley
Add model
c9754c8 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    155 Bytes
    Add model 12 months ago
  • config.json
    599 Bytes
    Add model 12 months ago
  • model.safetensors
    462 MB
    xet
    Add model 12 months ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    463 MB
    xet
    Add model 12 months ago