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:
- eb49a2a6fe56f61f681ab4399ade804777336cbf2760831f3196206ecfe3ad65
- Size of remote file:
- 39.7 MB
- SHA256:
- f2f3e1ead27ff3fa4aa01e14dcc15bce0068aee4485886b5783c66b2013e78d2
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