Instructions to use syeda-Rija20/image-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use syeda-Rija20/image-detector with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://syeda-Rija20/image-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fd1a0a9bb2de360253147a551278dbe5836d4a2b1d7683eee173d569e170d28
- Size of remote file:
- 84.2 MB
- SHA256:
- 3dffa169cdedfcf27893e82c422feb68d3a7f2e06a53534815d0f57b4fbc05e4
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