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:
- 3222c16b592dffe6a8032ba6663edc8f5f20b41933c1c220d0a6c9d16ec5eb13
- Size of remote file:
- 39.7 MB
- SHA256:
- ba5dd083dfdad4a31054a2b3313005280d6177fecae975fa98e9fc8fec802905
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