Instructions to use openfoodfacts/crop-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use openfoodfacts/crop-detection with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("openfoodfacts/crop-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1171175cf55e50918dc5c13439154ffeed8b239f26e2e3ccad0585a80f9e4c12
- Size of remote file:
- 6.27 MB
- SHA256:
- ca5868a594bfa1351e9cbf7186e6e37709afd53c312b6b9f3767ff2aab36d32d
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