Instructions to use hzli/bdetr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hzli/bdetr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hzli/bdetr")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hzli/bdetr") model = AutoModelForObjectDetection.from_pretrained("hzli/bdetr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload DetrForObjectDetection
Verified signature1306c33 -
Upload DetrForObjectDetection
Verified signature0bafa4a -
Upload DetrForObjectDetection
Verified signature5365447 -
Upload DetrForObjectDetection
Verified signature99f717a -
Upload DetrForObjectDetection
Verified signature4ad0d35 -
Upload processor
Verified signature310214d -
Upload DetrForObjectDetection
Verified signatureb408632 -
initial commit
Verified signature9b3ce8a