Instructions to use logasja/instagram-maven with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-maven 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-maven") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30f2f9ed956d3513d68aa2e8c8ef44bcb25d66fbb08673a6c5c78ee64284116e
- Size of remote file:
- 68.5 MB
- SHA256:
- 100123cbea593732d4eb86e9f5440e26742a001fa6713c92936d31684ba62b7a
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