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:
- 892b12293acad719ab740f91bbcb34d062b472c37e68d9a053cb3bd9b894bb62
- Size of remote file:
- 39.7 MB
- SHA256:
- 18510dd49a80ddc97c762843e3a83872df43f321fbcfa7e053a5510614850e8e
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