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:
- a2a03f53d074069d31c04f691298d404bb2a88dd4b4499b988b5dcf53eb7864a
- Size of remote file:
- 39.7 MB
- SHA256:
- 95623b2f6a10e84c27fcf5bf4a41c3cafd35f99b0d4072a94471f7ff042f0a0b
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