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:
- 95b61702812269522938caac70d103bbfcb7a1a9dcc6e471f7670b1efb7ba2fb
- Size of remote file:
- 39.7 MB
- SHA256:
- 1c8a7e0a22e9a92275767db336e5d0431c0adb34b4e0ab612de382244e7be0d5
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