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:
- 0fdb174fc94c5f683e25e9d981d39d8a0137ab8179c06fa6f3deb5987a35bc77
- Size of remote file:
- 39.7 MB
- SHA256:
- 81e395e346b628e1e5269b0aed8978a83da2ed474d7c811f9a9f0b2c814d57ca
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