Instructions to use ustc-community/dfine-xlarge-obj2coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ustc-community/dfine-xlarge-obj2coco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ustc-community/dfine-xlarge-obj2coco")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("ustc-community/dfine-xlarge-obj2coco") model = AutoModelForObjectDetection.from_pretrained("ustc-community/dfine-xlarge-obj2coco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2615f84410320b5c5f8ece713630e03f28130c6a3dc40db2ad06a6b9bf226ace
- Size of remote file:
- 252 MB
- SHA256:
- 19246b6d70c175d552752c8b7fac9b37516d8b14df2476a2cfd174837fc4df37
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