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api19750904
/
VM-Fast_Check

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use api19750904/VM-Fast_Check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use api19750904/VM-Fast_Check with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="api19750904/VM-Fast_Check")
    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("api19750904/VM-Fast_Check")
    model = AutoModelForImageClassification.from_pretrained("api19750904/VM-Fast_Check")
  • Notebooks
  • Google Colab
  • Kaggle
VM-Fast_Check / images
119 kB
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  • 1 contributor
History: 1 commit
api19750904's picture
api19750904
commit files to HF hub
5b6a30a over 3 years ago
  • person_drinking.jpg
    19.7 kB
    xet
    commit files to HF hub over 3 years ago
  • person_smoking.jpg
    10.4 kB
    xet
    commit files to HF hub over 3 years ago
  • swimsuit_boy.jpg
    34.5 kB
    xet
    commit files to HF hub over 3 years ago
  • swimsuit_girl.jpg
    54.6 kB
    xet
    commit files to HF hub over 3 years ago