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:
- ed116f73f0a22dc163c0300d739e3401bec67ae973a80a02b0489df05004f27d
- Size of remote file:
- 39.7 MB
- SHA256:
- e38ab8900dd42fadf517c48d3bab2cb4be50460d197f5ba182d5df1fdd7c300d
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