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Baldezo313
/
cnn_resnet50_model

Image Classification
Transformers
google-tensorflow TensorFlow
resnet
Model card Files Files and versions
xet
Community

Instructions to use Baldezo313/cnn_resnet50_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Baldezo313/cnn_resnet50_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Baldezo313/cnn_resnet50_model")
    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("Baldezo313/cnn_resnet50_model")
    model = AutoModelForImageClassification.from_pretrained("Baldezo313/cnn_resnet50_model")
  • Notebooks
  • Google Colab
  • Kaggle
cnn_resnet50_model
384 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Baldezo313's picture
Baldezo313
Renam my model
dfa3837 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    543 Bytes
    upload config.json file over 2 years ago
  • preprocessor_config.json
    265 Bytes
    create a preprocessor_config.json file over 2 years ago
  • tf_model.h5
    384 MB
    xet
    Renam my model over 2 years ago