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# First inference

*Estimated read time: 1 minute*

## Run this first

Don’t worry about the details yet. Just run this to see something work—we’ll explain what it does after.

{% code overflow="wrap" %}

```python
# Quick start: one image → inference → overlay
from degirum_tools import ModelSpec, remote_assets, Display

model_spec = ModelSpec(
    model_name="yolov8n_coco--640x640_quant_axelera_metis_1",
    zoo_url="degirum/axelera",
    inference_host_address="@local",
    model_properties={"device_type": ["AXELERA/METIS"]},
)
model = model_spec.load_model()

img = remote_assets.three_persons
res = model(img)

with Display("AI Camera") as output_display:
    output_display.show_image(res.image_overlay)
```

{% endcode %}

You should see an image with object detections overlayed:

<figure><img src="/files/bDesbhWxtgtuJGsnccot" alt="Three people at a crosswalk labeled person."><figcaption><p>Three people at a crosswalk labeled person.</p></figcaption></figure>

## What just happened

* You specified a model (name and source)
* Loaded it into an inference runtime
* Ran inference on a test image
* Displayed the output using `image_overlay`


---

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