Instructions to use ahmzakif/TrashNet-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ahmzakif/TrashNet-Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ahmzakif/TrashNet-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 891c90966ef4348eccf97e2b272007e7fe18ecdf103787ad4da89269b0c2961e
- Size of remote file:
- 4.47 MB
- SHA256:
- 411f792d9283c27975e30d264717f1c900e073087429ba631571af6e2c561369
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