Instructions to use u2003158/saved_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use u2003158/saved_model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://u2003158/saved_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d7f8d8030b8856adf5ea5b019848a2b204551f9d7810f28e203a04beb4e9a91
- Size of remote file:
- 57 Bytes
- SHA256:
- 5b24ff69eab5426f78510623ce530eafe40396482e65997e6571c55eead3871b
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