Instructions to use logasja/instagram-gingham with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-gingham 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-gingham") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17dadebb706dd221f2877659e6d79fbbf584154eba59e89a72bd271fed12470f
- Size of remote file:
- 68.5 MB
- SHA256:
- b5c42814d28ca2b31d427b4d74d6ea6b7051ff9e0d6c3ddb00d33780b640b097
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