Instructions to use logasja/instagram-poprocket with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-poprocket 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-poprocket") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 632768aac92946632df34e9c75ed4810c671aa613474c569d4ded1acc67a6ef3
- Size of remote file:
- 137 MB
- SHA256:
- ac3a079038afa9c8192185b40f6484dc7d1dbbdff87f561a4ae7ad6c8eec2aa4
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