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:
- c4d8d92f624d8d1d0d9892340046b9edbca39256a14010807a0422e041f7cb78
- Size of remote file:
- 39.7 MB
- SHA256:
- 6a99538926404c3119d53131d04b9eb8c78e9a0d04414dc92654e3c6e72e9625
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