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:
- 0ee52390e540d2dccab3bd27ca6e87a54621bcbe42fc011159f0406984113eb1
- Size of remote file:
- 39.7 MB
- SHA256:
- cc82f97db417078bd0b1f5d5f5584f63e73f81d3ed1c6e6a7c66d067a364ad4e
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