Instructions to use BeatThis/BeatThisModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BeatThis/BeatThisModels with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://BeatThis/BeatThisModels") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4954ff19ada10e3342cb635db9fb834cbb5fe9a538196230b93a768120953ae0
- Size of remote file:
- 39.7 MB
- SHA256:
- 5c21afca66295fdc0d5160283dfc1454f593a3879493b0f08c6a13ffc47a861f
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