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:
- debb73bf663190003268ed636917f0aacf9a5f75abbcd7bc4e92712c4bd27676
- Size of remote file:
- 39.7 MB
- SHA256:
- e9427994739f95ad28314ebf5ca7c012afeabaa0e2738870185797627362c09a
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