Instructions to use logasja/instagram-hefe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-hefe 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-hefe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd0983de2348bca392e2a82da6bfa98de96216e56c69c061e68fdb832da56321
- Size of remote file:
- 146 MB
- SHA256:
- 60563c66923b5c10dd54c9894f1a92c134a850de0b915125f4dd9b49262b6e67
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