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

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

Instructions to use DBD-research-group/EfficientNet-B1-BirdSet-XCL 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-XCL 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-XCL")
    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-XCL")
    model = AutoModelForImageClassification.from_pretrained("DBD-research-group/EfficientNet-B1-BirdSet-XCL")
  • Notebooks
  • Google Colab
  • Kaggle
EfficientNet-B1-BirdSet-XCL
76.7 MB
Ctrl+K
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  • 3 contributors
History: 6 commits
RaphaelSchwinger's picture
RaphaelSchwinger
Update preprocessing
2db0607 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.3 kB
    Update preprocessing about 1 year ago
  • config.json
    425 kB
    Update id2label and label2id over 1 year ago
  • model.safetensors
    76.3 MB
    xet
    Upload EfficientNetForImageClassification almost 2 years ago