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:
- e5345d2c1ec9a23de67311f1a3128d60cf2a4d89529f683a643494ad04d0f510
- Size of remote file:
- 3.14 kB
- SHA256:
- b529812090a33b7f2418581a26129c6b546ac6aadd013c721d0ab43084cd85a1
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