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trouvaille-k
/
Bird_Detector

Image Classification
Transformers
PyTorch
TensorBoard
vit
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use trouvaille-k/Bird_Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use trouvaille-k/Bird_Detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="trouvaille-k/Bird_Detector")
    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("trouvaille-k/Bird_Detector")
    model = AutoModelForImageClassification.from_pretrained("trouvaille-k/Bird_Detector")
  • Notebooks
  • Google Colab
  • Kaggle
Bird_Detector
1.72 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
6c241e7 almost 3 years ago
  • checkpoint-100
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  • runs
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  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • all_results.json
    207 Bytes
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  • config.json
    735 Bytes
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  • model.safetensors
    343 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • preprocessor_config.json
    327 Bytes
    Upload folder using huggingface_hub almost 3 years ago
  • pytorch_model.bin
    343 MB
    xet
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  • train_results.json
    207 Bytes
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  • trainer_state.json
    2.93 kB
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  • training_args.bin
    3.9 kB
    xet
    Upload folder using huggingface_hub almost 3 years ago