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
Training in progress, epoch 29
Browse files
model.safetensors
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runs/Jul24_14-23-25_40d53b199869/events.out.tfevents.1721831006.40d53b199869.8475.0
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