Instructions to use UQG/HumanFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use UQG/HumanFace with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://UQG/HumanFace") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c69af0a2d1807cb16b641d3f2800d50c1220f4671d41ab18ccd05ad2604ae122
- Size of remote file:
- 202 kB
- SHA256:
- 08a76c1ceb8aef31d9aab325d404ee710c755b2c3ae9d68aa46dc4587e5a21e9
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