Instructions to use aafreen06/FaceDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aafreen06/FaceDetection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://aafreen06/FaceDetection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08b80cc43fdc994f434e096a56837c7af5777cc3d122aa8c661e32d737a40a36
- Size of remote file:
- 55.1 MB
- SHA256:
- d5c698d0abe0ebfe3dd44686a932f4e7d0fb2fa2d5fd508c101e4905eadcb273
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