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:
- 0206440770e27bc0a8a33405abab4d5b2d68f87f9ad0133fe534beedd83a1c44
- Size of remote file:
- 39.7 MB
- SHA256:
- 09ce18d5dda809dffd0f7526c9771c9b41db4e9a0ec247a5dda14b93e012f7d0
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