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:
- 304dd90cc6866d8c73aeb25815e9142dcacd8463b73edc162e363f576740ebb9
- Size of remote file:
- 115 MB
- SHA256:
- 352f41be1ea4fea442c0de8b9f6d74eff264e336d459e4558cb7ce5dafd96005
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