Instructions to use tue-mps/coco_instance_pmt_large_1280_dinov3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tue-mps/coco_instance_pmt_large_1280_dinov3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="tue-mps/coco_instance_pmt_large_1280_dinov3")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tue-mps/coco_instance_pmt_large_1280_dinov3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tue-mps/coco_instance_pmt_large_1280_dinov3: direct link, hf CLI and curl.
- Browser
- Download file 216 MB
-
https://huggingface.co/tue-mps/coco_instance_pmt_large_1280_dinov3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tue-mps/coco_instance_pmt_large_1280_dinov3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tue-mps/coco_instance_pmt_large_1280_dinov3/resolve/main/pytorch_model.bin
216 MB
- Xet hash:
- 3b9bfc7f752d368fd6e06693fc112e1d91df9ae5a041db3b319a31dab95e6fbd
- Size of remote file:
- 216 MB
- SHA256:
- 9d17a53bf1053ce1689380c5619c12bd830f2db58ae00544f1bf27abde035018
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