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:
- e1659fe3f7c4dd78e5b65449cebc5e3e60952730ba45ec35bca0d9f69be5cf22
- Size of remote file:
- 39.7 MB
- SHA256:
- 3a6054a4669fcc96c06f0e9b7fbd82cb137dd268d786f4eaf78a9897ec69b8ea
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