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:
- 877f9ecbf39cace4d098ec9d5b483c463d41245546b710d187729b7aa08ec172
- Size of remote file:
- 39.7 MB
- SHA256:
- 173dd5b7ce720eb0325b869708ea6b47e66cbfd58e7742099e719fa158a47c41
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