Image Segmentation
Transformers
Safetensors
remote-sensing
earth-observation
open-vocabulary
clip
sam3
semantic-segmentation
Instructions to use Dingyi111/SegEarth-OV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dingyi111/SegEarth-OV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Dingyi111/SegEarth-OV")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dingyi111/SegEarth-OV", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 278 Bytes
fabc606 | 1 2 3 4 5 6 7 8 9 | {
"version": "OV-3",
"backbone": "SAM3",
"model_id": "facebook/sam3",
"featup": null,
"cls_token_lambda": 0,
"notes": "Uses SAM3 image model; no SimFeatUp (native resolution). Requires sam3 package.",
"local_checkpoint": "weights/backbone/sam3/model.safetensors"
} |