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:
- c144e41f4ed58645cd8850aacb8eabb5ae95f5dd2af660ed03c7f81c59eabc4e
- Size of remote file:
- 1.09 MB
- SHA256:
- 5ca1182c741c515dd08ba1169639e43c07cec362ac541bd258a4c7c5128eff3b
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