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sail
/
poolformer_s36

Image Classification
Transformers
PyTorch
poolformer
vision
Model card Files Files and versions
xet
Community
1

Instructions to use sail/poolformer_s36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sail/poolformer_s36 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="sail/poolformer_s36")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("sail/poolformer_s36")
    model = AutoModelForImageClassification.from_pretrained("sail/poolformer_s36")
  • Notebooks
  • Google Colab
  • Kaggle
poolformer_s36
247 MB
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  • 3 contributors
History: 7 commits
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SFconvertbot
Adding `safetensors` variant of this model
44977f2 verified over 1 year ago
  • .gitattributes
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    Adding `safetensors` variant of this model over 1 year ago
  • README.md
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  • config.json
    69.9 kB
    Upload config.json over 4 years ago
  • model.safetensors
    123 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    282 Bytes
    Upload preprocessor_config.json over 4 years ago
  • pytorch_model.bin
    124 MB
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    Upload pytorch_model.bin with git-lfs over 4 years ago