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:
- 32c66f914dac22ffc92f9a98e4bc4cbb6c0da87736bd526644c2efa9fe8e6c6a
- Size of remote file:
- 39.7 MB
- SHA256:
- f8663e97170495d3ce49b49b0c172f130e5c4a37c859f60d2325fd3412b37496
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