Instructions to use jayclifford345/robot_anomaly_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use jayclifford345/robot_anomaly_detection 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/robot_anomaly_detection") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from jayclifford345/robot_anomaly_detection: direct link, hf CLI and curl.
- Browser
- Download file 922 kB
-
https://huggingface.co/jayclifford345/robot_anomaly_detection/resolve/main/saved_model.pb
- Command line
-
hf download hf://jayclifford345/robot_anomaly_detection/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/jayclifford345/robot_anomaly_detection/resolve/main/saved_model.pb
922 kB
- Xet hash:
- fa7f326df64a8aa0cceb218b494b434fd6b6087e5c207d384a95607ceafec795
- Size of remote file:
- 922 kB
- SHA256:
- 99abfe9cf47c05c4a40d8064d1458bc51ae368952293757582df06ceeb353be8
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