Instructions to use AlanRobotics/siamese_nn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AlanRobotics/siamese_nn with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AlanRobotics/siamese_nn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1b73f06b3b16ae6de9556f9a86ec8d58de73bc2ab528133a446f5117030f816
- Size of remote file:
- 53 Bytes
- SHA256:
- 03e6812a80c19bf2e27b44bb4e895da68ab57998077f709eedc20da5e336a2fe
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