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siddhantuniyal
/
exercise-detection

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 siddhantuniyal/exercise-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use siddhantuniyal/exercise-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="siddhantuniyal/exercise-detection")
    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("siddhantuniyal/exercise-detection")
    model = AutoModelForImageClassification.from_pretrained("siddhantuniyal/exercise-detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
exercise-detection / runs
1.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
siddhantuniyal's picture
siddhantuniyal
commit files to HF hub
4a01093 almost 3 years ago
  • events.out.tfevents.1698504858.ef9edc0df924.852.0
    1.3 kB
    xet
    commit files to HF hub almost 3 years ago