Instructions to use shansuja/sugarcane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shansuja/sugarcane with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://shansuja/sugarcane") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f55e7d5f64e76424181e44a767342e85f06992b62f6b63961fea382d157f521
- Size of remote file:
- 2.22 MB
- SHA256:
- c10ce1e886feff3b1684adcdb80cebaf1afb0c7654cea8f4dc8b9ff5cd7357e3
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