Instructions to use logasja/instagram-amaro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/instagram-amaro 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-amaro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8147ac07102c293f84b46deebc789bf639cfe396d61fcb24fdd779ea162d5c2
- Size of remote file:
- 72.9 MB
- SHA256:
- 4c2f303fe41da81f634ea49d6e21dbd31d7483d08f34d89f98c51fd8c65ab817
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