Instructions to use khoaliamle/Rust_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use khoaliamle/Rust_Detection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://khoaliamle/Rust_Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e5e20372d5dfc871941896c14af947b87f382e481a712c70d6fa0ab479043f9
- Size of remote file:
- 4.2 MB
- SHA256:
- baa26df9f8335eac426b6192ea5cb96d96fcac3d7a0652cd705356518ccb91cf
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