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
Set `library_name` to `tf-keras`.
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by Wauplin HF Staff - opened
README.md
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license: apache-2.0
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library_name: keras
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tags:
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- dcgan
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datasets:
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- merve/anime-faces
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---
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## Model description
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Anime face generator model using [TensorFlow DCGAN example](https://www.tensorflow.org/tutorials/generative/dcgan).
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---
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datasets:
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- merve/anime-faces
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library_name: tf-keras
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license: apache-2.0
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tags:
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- dcgan
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---
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## Model description
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Anime face generator model using [TensorFlow DCGAN example](https://www.tensorflow.org/tutorials/generative/dcgan).
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