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:
- 281ffadf315d40a8add8482091ba64c84d0b4c53a16dfb796e6e6a89aa799d6c
- Size of remote file:
- 5.18 kB
- SHA256:
- 0877652baacacf8449b0e212ddba0c5017eb2351171cabb6493cdb14efa80a83
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