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")# pip install -U transformers accelerate # 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
Commit History
-
Training in progress, epoch 12
Verified signature2a2ddd7 -
Training in progress, epoch 11
Verified signature222eec1 -
Training in progress, epoch 10
Verified signature62630e8 -
Training in progress, epoch 9
Verified signature7426317 -
Training in progress, epoch 8
Verified signaturef67479e -
Training in progress, epoch 7
Verified signaturee74fe1a -
Training in progress, epoch 6
Verified signatureba8a666 -
Training in progress, epoch 5
Verified signatured3adad4 -
Training in progress, epoch 4
Verified signaturec8591ee -
Training in progress, epoch 3
Verified signature4845402 -
Training in progress, epoch 2
Verified signatureca9b41b -
Training in progress, epoch 1
Verified signaturec5a204a -
initial commit
Verified signatureb8eeb95