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:
- d8ea85b022084100d06be832a98ddadc309cd052004a98aac2c61eafd2138484
- Size of remote file:
- 39.7 MB
- SHA256:
- 4863f39379ab15aabbf39bfb0800826da2ff6d3507b1739aaf7ec4ec28223996
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