Instructions to use logasja/instagram-charmes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-charmes 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-charmes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bc91658a8605d2d35fc5ba427d1665297e03fd72968111ad01ad1d154051108
- Size of remote file:
- 68.5 MB
- SHA256:
- f47b44a3f94e825df97c7033c7d12a0b26d71e9533d53826f9ce113e7ddd84f0
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