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dennisjooo
/
Birds-Classifier-EfficientNetB2

Image Classification
Transformers
PyTorch
ONNX
Safetensors
efficientnet
biology
efficientnet-b2
vision
Model card Files Files and versions
xet
Community
3

Instructions to use dennisjooo/Birds-Classifier-EfficientNetB2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dennisjooo/Birds-Classifier-EfficientNetB2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="dennisjooo/Birds-Classifier-EfficientNetB2")
    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("dennisjooo/Birds-Classifier-EfficientNetB2")
    model = AutoModelForImageClassification.from_pretrained("dennisjooo/Birds-Classifier-EfficientNetB2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Birds-Classifier-EfficientNetB2 / onnx
33.7 MB
Ctrl+K
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  • 4 contributors
History: 1 commit
dennisjooo's picture
dennisjooo
Upload Transformers-compatible ONNX weights (#3)
5a0483d verified over 2 years ago
  • model.onnx
    33.7 MB
    xet
    Upload Transformers-compatible ONNX weights (#3) over 2 years ago