Instructions to use RubenVierstraete/masterclass-2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use RubenVierstraete/masterclass-2025 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://RubenVierstraete/masterclass-2025") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3cf459580b0b4327a3cb76d80242a06c55e4f4f32591ad19d62cbff4485f89d
- Size of remote file:
- 18.6 MB
- SHA256:
- daa040f9887707c3c20f36c4a2b9ba65cb35f6829fe9cd30828c5b49908c9965
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