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:
- 746d3f908b83109bf0065446759658197bf40f19d639655a62d435ca54e12ed4
- Size of remote file:
- 39.7 MB
- SHA256:
- 18f0f3e5a6a0ccec58ff82e3377dd850be49b0d87e9853d080de0be91884c0f7
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