> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/resnet.md).

# ResNet

ImageNet으로 사전 학습된 ResNet 이미지 분류를 다음을 통해 실행합니다 [Serverless Hosted API](/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2.md), 또는 다음을 사용해 자체 호스팅 [Roboflow Inference](https://inference.roboflow.com/).

## 기본 별칭

다음 별칭 중 하나를 전달하세요 `model_id` 다음을 사용할 때 [inference-sdk](/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2/use-with-python-sdk.md):

* `resnet18`
* `resnet34`
* `resnet50`
* `resnet101`

## 코드 샘플

SDK를 설치합니다:

```bash
pip install inference-sdk
```

아래 샘플은 `resnet50` 원격 이미지에 대해 실행됩니다. Pass [Roboflow의 API Key](https://app.roboflow.com/settings/api) 를 `API_KEY` 환경 변수를 통해.

```python
import os
import urllib.request
from inference_sdk import InferenceHTTPClient

image_url = "https://media.roboflow.com/notebooks/examples/dog.jpeg"
image_path = "dog.jpeg"
urllib.request.urlretrieve(image_url, image_path)

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.getenv("API_KEY"),
)
results = client.infer(image_path, model_id="resnet50")
print(results)
```

{% hint style="info" %}
설정하세요 `api_url` 를 배포 대상에 맞게:

* `https://serverless.roboflow.com` Serverless Hosted API용.
* `http://localhost:9001` 로컬 [Inference](https://inference.roboflow.com/) 서버용.
* 귀하의 [Dedicated Deployment](/roboflow/roboflow-ko/deploy/dedicated-deployments.md) 개인 엔드포인트용 URL.
  {% endhint %}


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