Instructions to use logasja/ArcFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/ArcFace 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/ArcFace") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70f82c42581e0312c2da0ca97525232fe62f91f40c7fc7a55dbaa01db65d714a
- Size of remote file:
- 137 MB
- SHA256:
- 0926060aa21598ec29d5c76d7c8e6ff8f5aff8832fa7969b6e3392f2ecebea8f
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