Instructions to use suko/Aphrodite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use suko/Aphrodite with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://suko/Aphrodite") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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library_name: keras
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This model is of poor quality and serves primarily as a practice project. It lacks practical applications and is intended solely for personal use.
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license: apache-2.0
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library_name: keras
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pipeline_tag: image-classification
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This model is of poor quality and serves primarily as a practice project. It lacks practical applications and is intended solely for personal use.
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