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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://AlanRobotics/siamese_nn") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from AlanRobotics/siamese_nn: direct link, hf CLI and curl.
- Browser
- Download file 8.11 MB
-
https://huggingface.co/AlanRobotics/siamese_nn/resolve/main/saved_model.pb
- Command line
-
hf download hf://AlanRobotics/siamese_nn/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/AlanRobotics/siamese_nn/resolve/main/saved_model.pb
8.11 MB
- Xet hash:
- d9c5369524b5c027342bb3d5178e20c813565366722c94234a159921995a6e2a
- Size of remote file:
- 8.11 MB
- SHA256:
- 0edbc64d432037b82120df86b56a7f40385cc0441a2aab272e3d5990417109ff
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