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:
- ae394272adcb5cd1f604a49f2d8b4d73d71c43dbb27574f297e3aac4dccbedd4
- Size of remote file:
- 45.7 MB
- SHA256:
- 38910cf6e74a8ec28d77cea1713a32ffd8cf23a2df020aa5cd73c674a5eee425
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