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tapasco
/
Tapasco

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use tapasco/Tapasco with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="tapasco/Tapasco")
    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("tapasco/Tapasco")
    model = AutoModelForImageClassification.from_pretrained("tapasco/Tapasco")
  • Notebooks
  • Google Colab
  • Kaggle
Tapasco / runs
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  • 1 contributor
History: 2 commits
tapasco's picture
tapasco
Model save
e1e3974 verified about 1 year ago
  • May09_02-22-05_4934624fd4a7
    Model save about 1 year ago