Instructions to use logasja/instagram-xpro2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-xpro2 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-xpro2") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 85814a80c5ca8fe9fa4f4b985a0f5c46e13b92b5ba943ac16d8272c3c8b7f13e
- Size of remote file:
- 139 kB
- SHA256:
- 2ff2cf7afe1a7061e7dbea13bd122a8c3d61c8d046c3f4f11c4217455792fbfb
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