> 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/vit.md).

# ViT

Roboflow에서 학습된 Vision Transformer(ViT) 분류 모델을 다음을 통해 사용하세요 [Serverless Hosted API](/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2.md)공개 ViT 별칭은 없습니다. 자체 데이터셋에서 ViT 분류기를 직접 학습하고, 자신의 `{project_id}/{version}`.

## 코드 샘플

SDK를 설치합니다:

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

전달하세요 [Roboflow API 키를](https://app.roboflow.com/settings/api) 를 `API_KEY` 환경 변수에, 그리고 다음을 바꿔 `your-project/1` 자신의 프로젝트 ID 및 버전으로.

```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="your-project/1")
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 %}

자가 호스팅 배포 및 추가 세부 정보는 다음을 참조하세요 [Inference 문서](https://inference.roboflow.com/).


---

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