Instructions to use catd1860/DrainDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use catd1860/DrainDetection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://catd1860/DrainDetection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 054d838736b2b5dd7b891aa4e80b3a7bf38f34d48d13b6cf43bea33d9b374be5
- Size of remote file:
- 6.6 MB
- SHA256:
- a340659f679069abf466b938c874400fb449ecc5ada7ba84919ec13e2b74c3e3
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