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DBD-research-group
/
EfficientNet-B1-BirdSet-XCM

Image Classification
Transformers
Safetensors
efficientnet
Model card Files Files and versions
xet
Community

Instructions to use DBD-research-group/EfficientNet-B1-BirdSet-XCM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DBD-research-group/EfficientNet-B1-BirdSet-XCM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="DBD-research-group/EfficientNet-B1-BirdSet-XCM")
    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("DBD-research-group/EfficientNet-B1-BirdSet-XCM")
    model = AutoModelForImageClassification.from_pretrained("DBD-research-group/EfficientNet-B1-BirdSet-XCM")
  • Notebooks
  • Google Colab
  • Kaggle
EfficientNet-B1-BirdSet-XCM
28.5 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
RuslanAntjuschin's picture
RuslanAntjuschin
Update id2label and label2id
5de418b verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload EfficientNetForImageClassification almost 2 years ago
  • config.json
    17.8 kB
    Update id2label and label2id over 1 year ago
  • model.safetensors
    28.5 MB
    xet
    Upload EfficientNetForImageClassification almost 2 years ago