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:
- a1351b94ac1f5df585824bc9517398e227b1a2d498ad54204bb22dac39e2b6f7
- Size of remote file:
- 39.7 MB
- SHA256:
- 22fdc61aa51482ee8dfd8534b075202037f8348b37e4be2d40863dee892984a2
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