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:
- 2b317cc02d3adc0d80567f113440d3942aec5b7638dca77935e888cc1c456422
- Size of remote file:
- 39.7 MB
- SHA256:
- 16d367f9bfe3ff585e6da9f79679beef79caedd338f34467a16d5fd1cd4f5ab3
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