LK-ROBOTICS/nxp-sf-train-balanced
Updated • 37
How to use LK-ROBOTICS/nxp-sf-yolo11n-balanced with ultralytics:
from huggingface_hub import hf_hub_download
from ultralytics import YOLO
# pick the weights file from this repo's "Files and versions" tab
weights = hf_hub_download("LK-ROBOTICS/nxp-sf-yolo11n-balanced", "<weights>.pt")
model = YOLO(weights)
source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
model.predict(source=source, save=True)How to use LK-ROBOTICS/nxp-sf-yolo11n-balanced with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
이 repo는 stable model family repo이며, 각 model revision은 revisions/<revision>/ 아래에 저장합니다.
LK-ROBOTICS/nxp-sf-yolo11n-balancedv1LK-ROBOTICS/nxp-sf-train-balanced| revision | path | note |
|---|---|---|
| v1 | revisions/v1 |
current migrated baseline from legacy nxp-sf-yolo11n-balanced-v1 |