Instructions to use Expendadeur/agro-bio-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Expendadeur/agro-bio-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Expendadeur/agro-bio-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ea9bd16ab917ce4c1ed050724a915c25672e05ad358af13137e22455922602e
- Size of remote file:
- 1.6 GB
- SHA256:
- af2e0ab61adefadcbd8f02232f32c941b327a07256ee6cff0e610fdf07cd9463
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