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:
# !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://catd1860/DrainDetection") - Notebooks
- Google Colab
- Kaggle
Upload keras model
Browse files- drain_detector.h5 +3 -0
- drain_detector.json +0 -0
drain_detector.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:308896a8a666c08fb0b6640b732306b7837ce1901abd8d9e6959a15443973dec
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size 31224544
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drain_detector.json
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