Yolo26 Safetensors
For all runtime usage, Rust APIs, and examples for every YOLO26 / YOLOE-26 task, see .
Source du modèle
- Type
- Other
- Taille du fichier
- 6,30–329 MB
- Modèle de base
- Ultralytics/YOLO26
- Version
- vRevision cd6aa1a
- Mis à jour
- 17 sept. 2026
- Téléchargements
- 0
- Source
- Hugging Face
Extrait de la source
For all runtime usage, Rust APIs, and examples for every YOLO26 / YOLOE-26 task, see .
Sources
1 source
Sources
1 sourceVérifié 2 sept.
Artefacts du modèle
40 artefacts
Artefacts du modèle
40 artefactsyoloe-26l-seg-pf.safetensors
safetensors · 155 MB · SHA-256 1b59b87586c1…18c1 · Hugging Face
Téléchargeryoloe-26m-seg-pf.safetensors
safetensors · 138 MB · SHA-256 db0ef10ae033…a973 · Hugging Face
Téléchargeryoloe-26n-seg-pf.safetensors
safetensors · 24,6 MB · SHA-256 4135070fb101…e827 · Hugging Face
Téléchargeryoloe-26n-seg.safetensors
safetensors · 21,6 MB · SHA-256 f9db713304e7…66cc · Hugging Face
Téléchargeryoloe-26s-seg-pf.safetensors
safetensors · 61,7 MB · SHA-256 3c924c3bf87d…233d · Hugging Face
Téléchargeryoloe-26s-seg.safetensors
safetensors · 58,5 MB · SHA-256 59a808ea26aa…9419 · Hugging Face
Téléchargeryoloe-26x-seg-pf.safetensors
safetensors · 329 MB · SHA-256 302c00f099e5…f997 · Hugging Face
TéléchargerExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: agpl-3.0 base_model: Ultralytics/YOLO26 tags: - yolo - yolo26 - yoloe - safetensors - object-detection - image-segmentation - image-classification - pose-estimation - oriented-object-detection - semantic-segmentation --- # YOLO26 SafeTensors [中文](README_CN.md) For all runtime usage, Rust APIs, and examples for every YOLO26 / YOLOE-26 task, see <https://github.com/wzh19960613/yolo26-rs>. This repository contains safetensors-converted weights from the official Ultralytics YOLO26 release. Tensor keys, shapes, dtypes, and values are preserved from the upstream `state_dict`; only the serialization format is changed. **Original source:** https://huggingface.co/Ultralytics/YOLO26 **License:** AGPL-3.0 (same as upstream) ## Weights File naming convention: ``` yolo26{size}.safetensors # detection yolo26{size}-{task}.safetensors # cls / seg / pose / sem / obb yoloe-26{size}-seg.safetensors # YOLOE text / visual prompt yoloe-26{size}-seg-pf.safetensors # YOLOE prompt-free LRPC ``` **Sizes:** n, s, m, l, x **Tasks:** detect, cls, seg, pose, sem, obb, yoloe-seg, yoloe-seg-pf ## Re-export Requires Python 3.10+ with `ultralytics` and `safetensors` installed: ```bash pip install ultralytics safetensors ``` Export specific models: ```bash # single: yolo26n.pt -> .safetensors python export-from-ultralytics.py -s n # multiple: yolo26n.pt, yolo26s.pt, yolo26n-seg.pt, yolo26s-seg.pt -> .safetensors python export-from-ultralytics.py -s n s -t detect seg # YOLOE text/visual and prompt-free: # yoloe-26n-seg.pt, yoloe-26n-seg-pf.pt -> .safetensors python export-from-ultralytics.py -s n -t yoloe-seg yoloe-seg-pf # all combinations python export-from-ultralytics.py -s all -t all # output directory (default: current directory) python export-from-ultralytics.py -s n -t detect -o public/models # delete .pt files downloaded during this run after successful export python export-from-ultralytics.py -s n -t yoloe-seg --clean ``` Existing valid `.safetensors` files are skipped automatically. Re-run to re-export corrupted files. By default, official `.pt` files downloaded by Ultralytics are kept in the current working directory. Pass `--clean` to delete only the `.pt` files downloaded during that run after their `.safetensors` export succeeds.
Source context: 0 downloads · 0 likes · Pipeline image-classification · Repo wzh19960613/yolo26-safetensors
