Instructions to use ustc-community/dfine-small-obj2coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ustc-community/dfine-small-obj2coco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ustc-community/dfine-small-obj2coco")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("ustc-community/dfine-small-obj2coco") model = AutoModelForObjectDetection.from_pretrained("ustc-community/dfine-small-obj2coco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdcdf0251f51c30e94652b6ae8d6997a40032d427a0501f07446ee06e5c3e2f6
- Size of remote file:
- 41.5 MB
- SHA256:
- 8ff4a8332cf9507209fa443058d00752ebfede3f8cb497b91d4238369e3a57f7
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