Instructions to use jayclifford345/vibration-autoencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use jayclifford345/vibration-autoencoder 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://jayclifford345/vibration-autoencoder") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from jayclifford345/vibration-autoencoder: direct link, hf CLI and curl.
- Browser
- Download file 57 Bytes
-
https://huggingface.co/jayclifford345/vibration-autoencoder/resolve/main/fingerprint.pb
- Command line
-
hf download hf://jayclifford345/vibration-autoencoder/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/jayclifford345/vibration-autoencoder/resolve/main/fingerprint.pb
57 Bytes
- Xet hash:
- 3002b44ae5b5f9e4eed388039481d699abe4ca012c35f7d39e16caa56227228a
- Size of remote file:
- 57 Bytes
- SHA256:
- 04cf2f6940fb9a1756b3669c65f18a3a85c3fbfa1f66a1721c658387cc17d185
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