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pcuenq
/
tw1

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

Instructions to use pcuenq/tw1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pcuenq/tw1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="pcuenq/tw1")
    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("pcuenq/tw1")
    model = AutoModelForImageClassification.from_pretrained("pcuenq/tw1")
  • timm

    How to use pcuenq/tw1 with timm:

    import timm
    
    model = timm.create_model("hf_hub:pcuenq/tw1", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
tw1
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  • 1 contributor
History: 2 commits
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pcuenq HF Staff
Upload TimmWrapperForImageClassification
dea2ded verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.18 kB
    Upload TimmWrapperForImageClassification over 1 year ago
  • config.json
    29.6 kB
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  • model.safetensors
    346 MB
    xet
    Upload TimmWrapperForImageClassification over 1 year ago