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
tflite version
Browse files- model.tflite +3 -0
model.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c2f303fe41da81f634ea49d6e21dbd31d7483d08f34d89f98c51fd8c65ab817
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size 72851616
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