Instructions to use ArrayDice/Vehicle_Detection_Model_Zoom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArrayDice/Vehicle_Detection_Model_Zoom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ArrayDice/Vehicle_Detection_Model_Zoom")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ArrayDice/Vehicle_Detection_Model_Zoom") model = AutoModelForObjectDetection.from_pretrained("ArrayDice/Vehicle_Detection_Model_Zoom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13d070ffe9598f3213c207ed2f780a1f4a10d0fe552de94b9082e7d4fe681aa5
- Size of remote file:
- 167 MB
- SHA256:
- 817b3930f10f7f60e9639901e5ed872cd9727d4505be6b41027655226d0f3bde
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