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:
- 19030f798840cfd7654f2a415c36304a4e4750c781c6c1c980b5a57e05de9169
- Size of remote file:
- 39.7 MB
- SHA256:
- 7fcf32c72e4fb77588f1c2cf35c58aae9518be2ccfa8f93a8e6e076559e837fb
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