Instructions to use studiolike/cap_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use studiolike/cap_01 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://studiolike/cap_01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab141b8cca249d66188a053af56ad0791cd8bf98d866b3c41e3c1ef75747e544
- Size of remote file:
- 56 Bytes
- SHA256:
- b55fe5385ba18b82dfd477f3ad176acc04a2cb8c3e72df6ba4790c79b0e91697
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