Instructions to use keras-sd/decoder-tflite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use keras-sd/decoder-tflite with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://keras-sd/decoder-tflite") - Notebooks
- Google Colab
- Kaggle
Upload decoder.tflite
Browse files- decoder.tflite +3 -0
decoder.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca330ee6af70f265f7e3c650e98faa1501a03a2d1bd715a8a70e4f0a3141e902
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size 181029080
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