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:
- 1d9883991c95ae8f0c98a3f0663ec642149a8020aaebd869f5f35b25db31f85a
- Size of remote file:
- 39.7 MB
- SHA256:
- 47b9c1297d1d32720fd1760b0bd0766f956031d2a73ec4a84aaa64d1700b5f1a
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