Instructions to use logasja/instagram-ginza with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-ginza with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://logasja/instagram-ginza") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4f6a054024cb2875944f897b819628fd9d9bd0d98cf5d9a868eecb23600b4ad
- Size of remote file:
- 68.5 MB
- SHA256:
- 077a83dcfb74a56ec8e37b9c8acca707170c4a261533935c0c34fb43f20d817b
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