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Update docs (#73)

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docs/quickstart.md
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@ -24,11 +24,15 @@ CLI requires no customization or code. You can simply run all tasks from the ter
classify val s-seg.pt
```
=== "Example"
=== "Example training"
```bash
yolo task=detect mode=val model=s.yaml
yolo task=detect mode=train model=s.yaml
```
TODO: add terminal screen/gif
=== "Example training DDP"
```bash
yolo task=detect mode=train model=s.yaml device=\'0,1,2,3\'
```
[CLI Guide](#){ .md-button .md-button--primary}
## Python API
@ -42,5 +46,6 @@ Ultralytics YOLO comes with pythonic Model and Trainer interface.
model.new("s-seg.yaml") # automatically detects task type
model.load("s-seg.pt") # load checkpoint
model.train(data="coco128-segments", epochs=1, lr0=0.01, ...)
model.train(data="coco128-segments", epochs=1, lr0=0.01, device="0,1,2,3") # DDP mode
```
[API Guide](#){ .md-button .md-button--primary}
[API Guide](#){ .md-button .md-button--primary}