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:
- 232105ca86fb417680594898fee9cfd67b64c4d7dfd623a18863da452c6a7439
- Size of remote file:
- 39.7 MB
- SHA256:
- ead16456b4bba2b0cfdc854718330a3dc518c2b4af9a764afa0a0a2d08f32a18
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