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TTNVXX
/
sunda-classification

Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
swinv2
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use TTNVXX/sunda-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="TTNVXX/sunda-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("TTNVXX/sunda-classification")
    model = AutoModelForImageClassification.from_pretrained("TTNVXX/sunda-classification")
  • Notebooks
  • Google Colab
  • Kaggle
sunda-classification
348 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
TTNVXX's picture
TTNVXX
commit files to HF hub
63a8426 about 2 years ago
  • runs
    commit files to HF hub about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    356 Bytes
    commit files to HF hub about 2 years ago
  • config.json
    2 kB
    commit files to HF hub about 2 years ago
  • model.safetensors
    348 MB
    xet
    commit files to HF hub about 2 years ago
  • preprocessor_config.json
    590 Bytes
    commit files to HF hub about 2 years ago