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:
- 7a857aaa10496f313365044053a529743c9705f4d9cefd36893c774ef868dc0f
- Size of remote file:
- 39.7 MB
- SHA256:
- f6c42cc3cce2140e5c013db2e1856e6ef00fadbe21047cd8b9e1719490992585
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