Instructions to use guicon/techchallenge-pet-computer-vision-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use guicon/techchallenge-pet-computer-vision-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://guicon/techchallenge-pet-computer-vision-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cbbbe9d5490834de5ec020177abe97eb90203fce4b1bb458965f7f10cd4074c
- Size of remote file:
- 12.9 MB
- SHA256:
- 2add911598451be1c59d5fcaf15fc308ac48629aa819659c725568e2cc9cd5fb
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