Instructions to use KevinJuanCarlos23/VehicleClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use KevinJuanCarlos23/VehicleClassification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://KevinJuanCarlos23/VehicleClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3d471e518842f698e34b6e98d4d2f6e1bac420bab3f953bcbcb52cf08f28fe8
- Size of remote file:
- 1.07 GB
- SHA256:
- a18ab08c24aea980af98323e1700225b0ea4f159a2b242704c8e4669c34d598c
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