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:
- e2dd0660c25ab3de74da3e866b0155480e2c57956be199a03af57dfc29e0931a
- Size of remote file:
- 1.46 kB
- SHA256:
- ce60914795aea95f5bc8cb3db8ad0dc9ca767031dccfd1a91e92bfff3de70486
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