Instructions to use logasja/instagram-juno with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-juno 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-juno") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e20b023c3fb8f07e31032974ba7ac5e1f1bee20fd3cc408703a7fc3112389fd
- Size of remote file:
- 68.5 MB
- SHA256:
- aaf4781bb228d4b3cf0755dab3db25259a9d0e890013fb23ef804c2a5919954e
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