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mwalmsley
/
baseline-encoder-classification-maxvit_tiny

Image Classification
timm
PyTorch
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • timm

    How to use mwalmsley/baseline-encoder-classification-maxvit_tiny with timm:

    import timm
    
    model = timm.create_model("hf_hub:mwalmsley/baseline-encoder-classification-maxvit_tiny", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
baseline-encoder-classification-maxvit_tiny
229 MB
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
1e31909 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    144 Bytes
    Add model about 1 year ago
  • config.json
    585 Bytes
    Add model about 1 year ago
  • model.safetensors
    114 MB
    xet
    Adding `safetensors` variant of this model 9 months ago
  • pytorch_model.bin
    115 MB
    xet
    Add model about 1 year ago