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Reformat Docs and YAMLs (#12806)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-05-18 22:17:57 +02:00 • committed by GitHub
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22
docs/en/hub/inference-api.md
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@ -70,7 +70,7 @@ curl -X POST "https://api.ultralytics.com/v1/predict/MODEL_ID" \
See the table below for a full list of available inference arguments.
| Argument | Default | Type | Description |
| ------------ | ------- | ------- | -------------------------------------- |
|--------------|---------|---------|----------------------------------------|
| `image` | | `image` | image file |
| `url` | | `str` | URL of the image if not passing a file |
| `size` | `640` | `int` | valid range `32` - `1280` pixels |
@ -91,10 +91,10 @@ The [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API returns a JS
from ultralytics import YOLO
# Load model
model = YOLO('yolov8n-cls.pt')
model = YOLO("yolov8n-cls.pt")
# Run inference
results = model('image.jpg')
results = model("image.jpg")
# Print image.jpg results in JSON format
print(results[0].tojson())
@ -159,10 +159,10 @@ The [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API returns a JS
from ultralytics import YOLO
# Load model
model = YOLO('yolov8n.pt')
model = YOLO("yolov8n.pt")
# Run inference
results = model('image.jpg')
results = model("image.jpg")
# Print image.jpg results in JSON format
print(results[0].tojson())
@ -231,10 +231,10 @@ The [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API returns a JS
from ultralytics import YOLO
# Load model
model = YOLO('yolov8n-obb.pt')
model = YOLO("yolov8n-obb.pt")
# Run inference
results = model('image.jpg')
results = model("image.jpg")
# Print image.jpg results in JSON format
print(results[0].tojson())
@ -305,10 +305,10 @@ The [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API returns a JS
from ultralytics import YOLO
# Load model
model = YOLO('yolov8n-seg.pt')
model = YOLO("yolov8n-seg.pt")
# Run inference
results = model('image.jpg')
results = model("image.jpg")
# Print image.jpg results in JSON format
print(results[0].tojson())
@ -374,10 +374,10 @@ The [Ultralytics HUB](https://bit.ly/ultralytics_hub) Inference API returns a JS
from ultralytics import YOLO
# Load model
model = YOLO('yolov8n-pose.pt')
model = YOLO("yolov8n-pose.pt")
# Run inference
results = model('image.jpg')
results = model("image.jpg")
# Print image.jpg results in JSON format
print(results[0].tojson())