Instructions to use ustc-community/dfine-large-obj2coco-e25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ustc-community/dfine-large-obj2coco-e25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ustc-community/dfine-large-obj2coco-e25")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("ustc-community/dfine-large-obj2coco-e25") model = AutoModelForObjectDetection.from_pretrained("ustc-community/dfine-large-obj2coco-e25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b058ced41805bdb1b7c88406c80378fce0f3728adf9af232b88e11d1c8dbf38d
- Size of remote file:
- 126 MB
- SHA256:
- 82508394c2070c7d82c286b78f8b4b42dd64b5a3144578427c6e67b07b9f8154
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.