Instructions to use gospelgit/Anomaly_Detection_with_Volve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use gospelgit/Anomaly_Detection_with_Volve with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://gospelgit/Anomaly_Detection_with_Volve") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91278b4cbc201777687b5f05339cddb154def20c7099b56c586967c1ffbe6d98
- Size of remote file:
- 100 kB
- SHA256:
- a5abe2a4bf514a1e0186053887649a2d18f10fe7a12ce9cab78f2b30e78e9bc7
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