Instructions to use PredictiveManish/wall-crack-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PredictiveManish/wall-crack-detection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://PredictiveManish/wall-crack-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4f50c0451c01b302b371e371a459380829ab2e1586cd5af349f9f69b8ab06a8
- Size of remote file:
- 9.58 MB
- SHA256:
- da794f29e7f2a65daf2a9f172ba0f533e6273e71d880ca92701842f14cecc3a1
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