Instructions to use tue-mps/coco_panoptic_eomt_large_640 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tue-mps/coco_panoptic_eomt_large_640 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="tue-mps/coco_panoptic_eomt_large_640")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, EomtForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("tue-mps/coco_panoptic_eomt_large_640") model = EomtForUniversalSegmentation.from_pretrained("tue-mps/coco_panoptic_eomt_large_640", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tue-mps/coco_panoptic_eomt_large_640: direct link, hf CLI and curl.
- Browser
- Download file 1.27 GB
-
https://huggingface.co/tue-mps/coco_panoptic_eomt_large_640/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tue-mps/coco_panoptic_eomt_large_640/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tue-mps/coco_panoptic_eomt_large_640/resolve/main/pytorch_model.bin
1.27 GB
- Xet hash:
- 0bdb89e8f62f6f7a0b2cd69f578144574c5e3f734a7268bda6373270e7e831d2
- Size of remote file:
- 1.27 GB
- SHA256:
- d48c4a6e51bb04dd5ffa8bf720ccb2ef3ad7b13f8c072ad5a8b6028e7d9e9715
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.