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:
- e23d03cafee40610a5f8155690c958247b1032fce119f83251156c568eb09fce
- Size of remote file:
- 39.7 MB
- SHA256:
- 121dfe0ce7e13ee73b2aa74cdd5f5794362f2a9081d31da05b8aa5cf19b6c832
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