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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://keras-sd/decoder-tflite") - Notebooks
- Google Colab
- Kaggle
Download decoder.tflite from keras-sd/decoder-tflite: direct link, hf CLI and curl.
- Browser
- Download file 50.1 MB
-
https://huggingface.co/keras-sd/decoder-tflite/resolve/058d203c22a5fedcd3a786dec00a59f339a01246/decoder.tflite
- Command line
-
hf download hf://keras-sd/decoder-tflite@058d203c22a5fedcd3a786dec00a59f339a01246/decoder.tflite
-
curl -L -o decoder.tflite https://huggingface.co/keras-sd/decoder-tflite/resolve/058d203c22a5fedcd3a786dec00a59f339a01246/decoder.tflite
50.1 MB
- Xet hash:
- b43719ab88331d834f59330ea11f0825ab87adde505dae4160315ba85e811a39
- Size of remote file:
- 50.1 MB
- SHA256:
- 02736d137e0ee83d1bbf9484a658e33764c25de10f46330b3688bdab6273c219
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