Instructions to use chaninder/waste-sorting-model-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use chaninder/waste-sorting-model-v4 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://chaninder/waste-sorting-model-v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 420f1a47204909a2185ccbe7fee3f22037b9e2ef8785990a0c491c1ecaa0e7c4
- Size of remote file:
- 3.21 MB
- SHA256:
- 8655e1e29343b99df9742af648ff62b18bdc8156529bd003168ba41916afc30e
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