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:
- b5a8c8d80fa468864fd54ae1328a65e4624445ee528491008a287d1ca73b0eaf
- Size of remote file:
- 39.7 MB
- SHA256:
- 2037e95c3c76979b69fe9e925e7c2aa44f21b8ecc70982c7c3393605c4249df2
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