Instructions to use logasja/instagram-dogpatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-dogpatch 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-dogpatch") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a82500678f2210b99c2007e09ba58e1c40fa1a9556d395f12f89c0b004dd1db1
- Size of remote file:
- 2.16 MB
- SHA256:
- 42e25365509bcf144fc382e54c206c6d215ada9d29f6f4162d06ea940e13e1b7
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