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:
- f82b2e97888214f210535c1e2c6dda7da141e4ef86878b8f251cbbcb288f005b
- Size of remote file:
- 56 Bytes
- SHA256:
- 10611fbe9077360cfd9ad3b1491a9ffef40effd2f12678d1e0cfb719d75913f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.