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:
- 7961868ceedf3c033d121a45192938b253f516c75f271949b689f512bc3f9649
- Size of remote file:
- 72.9 MB
- SHA256:
- d1632badb0c506cf47790266a456095314740ac90c6ba242cba12b0818e0e15b
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