HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Bump slackapi/slack-github-action from 1.25.0 to 1.26.0 in /.github/workflows (#10221)

Browse source 
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: 凌 <i@ioioi.cn>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
dependabot[bot] 2024-04-23 16:47:32 +02:00 • committed by GitHub
parent c0dd2966ec
commit c47eec898f
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
4 changed files with 5 additions and 5 deletions
Download patch file Download diff file Expand all files Collapse all files

2
docs/en/modes/train.md
View file

@ -47,7 +47,7 @@ The following are some notable features of YOLOv8's Train mode:
## Usage Examples
Train YOLOv8n on the COCO8 dataset for 100 epochs at image size 640. The training device can be specified using the `device` argument. If no argument is passed GPU `device=0` will be used if available, otherwise `device=cpu` will be used. See Arguments section below for a full list of training arguments.
Train YOLOv8n on the COCO8 dataset for 100 epochs at image size 640. The training device can be specified using the `device` argument. If no argument is passed GPU `device=0` will be used if available, otherwise `device='cpu'` will be used. See Arguments section below for a full list of training arguments.
!!! Example "Single-GPU and CPU Training Example"