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:
- 3b1b6be8fcf9aebb49211880f558d5d7f913f2b91595f0b646b3ebcf5e59425a
- Size of remote file:
- 25.2 MB
- SHA256:
- 171d3768f9f25062ad9b4998b0b11d3cc7e4ea77c08b9086a816534a072f3727
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