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:
- d9c5369524b5c027342bb3d5178e20c813565366722c94234a159921995a6e2a
- Size of remote file:
- 8.11 MB
- SHA256:
- 0edbc64d432037b82120df86b56a7f40385cc0441a2aab272e3d5990417109ff
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