Instructions to use jayclifford345/vibration_autoencoder_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use jayclifford345/vibration_autoencoder_v2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://jayclifford345/vibration_autoencoder_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a7c87506a700eb2d353d53981aeecb9f51a6bc74af3fd6959d73824f8b501c0
- Size of remote file:
- 56 Bytes
- SHA256:
- 3921fbd35070c3c2925d7fdad4ef4c45bd16250b81ee2a9837a48b3e2a2838b5
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