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:
- 592fd2663e9058d3e391f6c2d4af6d96a6c7df9a9fad69500533f745a7e08af0
- Size of remote file:
- 39.7 MB
- SHA256:
- ec9913c05e7f4d2eb10a98c2d6876a72624375cabe519e1d5e8dba6034186f01
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