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Instructions to use sharktide/HR-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sharktide/HR-encoder with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sharktide/HR-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e9c250d983852cf4fc6f2517871b0e8a6542e535304aced2f672f5834834a1c
- Size of remote file:
- 905 kB
- SHA256:
- 727b151476dfd37a320a93307033445143cd9c2e1e401e5a8764cd6963192a85
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