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:
- 5c95435d07fa22cbf16b83b327be7cc64ae2e8d08df34518cc6b32e23f8c382c
- Size of remote file:
- 39.7 MB
- SHA256:
- fcbbfc49fe7fb6192ea98be84218db764f06b470489ccd1608fa79fe0be653d2
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