Instructions to use tue-mps/coco_instance_eomt_large_640_dinov3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tue-mps/coco_instance_eomt_large_640_dinov3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="tue-mps/coco_instance_eomt_large_640_dinov3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tue-mps/coco_instance_eomt_large_640_dinov3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Missing config.json
#3
by Xenova - opened
Hi there! The model appears to be marked as transformers-compatible, but it's missing the necessary config.json file.
If I understand correctly from here, they are weight deltas. So, perhaps some sample code for running in the README could help?
Thanks!