Instructions to use merve/anime-faces-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use merve/anime-faces-generator with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://merve/anime-faces-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2e1eaac95a03e5b8ed52c5f288249a4aa9fabc5df03eb8214adfb7120fbb896
- Size of remote file:
- 33.9 kB
- SHA256:
- 6bca2452f32dec6801018d6a1044be3970974753bec4c9f3c9ce0eabe2a7d038
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