Instructions to use logasja/DeepID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/DeepID with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://logasja/DeepID") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8cd2e6e85dd8452efc937db949109face89b0b697aa1a54aca9a82e317eca4c
- Size of remote file:
- 1.63 MB
- SHA256:
- 5f3cf7329474d7f4fd8f921341a66b8eeb1e8b07750938b0125710da6563f91b
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