Instructions to use Laufey/shape-cnn-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Laufey/shape-cnn-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Laufey/shape-cnn-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59e44092a0c7e45c80d4a609a26a32fabe03ed9e8071ae0492e16b87b25b3ada
- Size of remote file:
- 4.38 MB
- SHA256:
- a5f10c61476a3c0430208bb1ee42982e5b09d077997b96311f2824916262dee3
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