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sgdkn
/
pose-classification-hp

Image Classification
Transformers
PyTorch
Safetensors
vit
Model card Files Files and versions
xet
Community
1

Instructions to use sgdkn/pose-classification-hp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sgdkn/pose-classification-hp with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="sgdkn/pose-classification-hp")
    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("sgdkn/pose-classification-hp")
    model = AutoModelForImageClassification.from_pretrained("sgdkn/pose-classification-hp")
  • Notebooks
  • Google Colab
  • Kaggle
pose-classification-hp
687 MB
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  • 1 contributor
History: 6 commits
sgdkn's picture
sgdkn
Upload ViTForImageClassification
54947e1 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    1.23 kB
    Upload ViTForImageClassification almost 2 years ago
  • model.safetensors
    343 MB
    xet
    Upload model.safetensors almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    343 MB
    xet
    Upload ViTForImageClassification almost 2 years ago