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
Create README.md
Browse files
README.md
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---
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license: apache-2.0
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library_name: keras # Example: keras or any library from https://github.com/huggingface/huggingface_hub/blob/main/js/src/lib/interfaces/Libraries.ts
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tags:
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- dcgan # Example: audio
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datasets:
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- 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) adapted for [anime faces dataset](https://huggingface.co/datasets/merve/anime-faces).
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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