Pretrained Model Aliases

Roboflow Inference ships with a set of pretrained models trained on the COCO dataset and exposed under short aliases such as rfdetr-small or yolov8n-640.

Aliases are convenience shortcuts: you do not need to know the underlying Roboflow project and version, and you can pass the alias anywhere a model ID is accepted.

Code sample

export ROBOFLOW_API_KEY="your-key-here"

pip install inference-sdk

import os
from inference_sdk import InferenceHTTPClient

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.environ["ROBOFLOW_API_KEY"],
)

results = client.infer(
    "https://media.roboflow.com/inference/people-walking.jpg",
    model_id="rfdetr-small",
)
print(results["predictions"])

pip install inference

from inference import get_model

model = get_model(model_id="rfdetr-small")

results = model.infer("https://media.roboflow.com/inference/people-walking.jpg")
print(results[0].predictions)

Available aliases

Click "Test in browser" to try a model on Roboflow Universe before deploying it.

RF-DETR

Model page: RF-DETR

YOLO26

Model page: YOLO26

YOLO11

Model page: YOLO11

YOLOv10

Model page: YOLOv10

YOLOv8

Model page: YOLOv8

YOLO-NAS

Model page: YOLO-NAS

Related pages

• Supported Models - the full catalog of models you can deploy with Roboflow.
• Model IDs - how to reference your own trained models.
• Find a Model on Universe - 50,000+ community-trained models you can run the same way.