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:
- 5b7090e77cbd13dd9d04c7953c62bf491af8fb503fb8d5b64627bfcb5ec7734b
- Size of remote file:
- 6.27 MB
- SHA256:
- e1b6eeff46da1f6c57d6835b695d074b1cb4d1194cee8f395007a48f99fd077c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.