Instructions to use logasja/instagram-brooklyn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-brooklyn 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-brooklyn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76817a95f6b43673ada6ec1e19211693c9f2b8e38ddfebd0769de06a51ad0dc3
- Size of remote file:
- 68.5 MB
- SHA256:
- 944955c9a19fd89228d552a6b1169bc7632fd516daee6356079803f95189c664
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