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:
- 55dca7c128fd311995279b558ed9522bdbada6ca0a3b71900862d1e7973d395e
- Size of remote file:
- 283 Bytes
- SHA256:
- fdbfcfb05585c15f07f96e39bfbda34501135cd2712487552e4d27ccb4417630
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