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dima806
/
yoga_pose_image_classification

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

Instructions to use dima806/yoga_pose_image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dima806/yoga_pose_image_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="dima806/yoga_pose_image_classification")
    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("dima806/yoga_pose_image_classification")
    model = AutoModelForImageClassification.from_pretrained("dima806/yoga_pose_image_classification")
  • Notebooks
  • Google Colab
  • Kaggle
yoga_pose_image_classification / onnx
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  • 2 contributors
History: 1 commit
dima806's picture
dima806
Adding ONNX file of this model (#1)
c677b7f verified about 2 years ago
  • config.json
    988 Bytes
    Adding ONNX file of this model (#1) about 2 years ago
  • model.onnx
    343 MB
    xet
    Adding ONNX file of this model (#1) about 2 years ago
  • preprocessor_config.json
    327 Bytes
    Adding ONNX file of this model (#1) about 2 years ago