> 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/serverless/video-inference/use-a-fine-tuned-model.md).

# Fine-Tuned Model 사용

Roboflow에 학습하거나 업로드한 모델을 video inference API와 함께 사용할 수 있습니다.

### Video Inference API로 Fine-Tuned Model 사용하기

먼저 Roboflow Python 패키지를 설치하세요:

```bash
pip install roboflow
```

다음으로 새 Python 파일을 만들고 다음 코드를 추가하세요:

```python
from roboflow import Roboflow

rf = Roboflow(api_key="API_KEY")
project = rf.workspace().project("PROJECT_NAME")
model = project.version(MODEL_ID).models()[0]

job_id, signed_url, expire_time = model.predict_video(
    "football-video.mp4",
    fps=5,
    prediction_type="batch-video",
)

results = model.poll_until_video_results(job_id)

print(results)
```

위에서 다음을 바꾸세요:

* `API_KEY`:를 Roboflow API 키로 바꾸세요
* `PROJECT_NAME`:를 Roboflow 프로젝트 ID로 바꾸세요.
* `MODEL_ID`:를 Roboflow 모델 ID로 바꾸세요.

*중요 참고: 현재 Roboflow의 video inference는 2023년 6월 30일 이후 Roboflow 내에서 학습된 모델만 지원합니다. 더 오래된 모델도 포함하기 위해 작업 중입니다.*

[API 키를 가져오는 방법 알아보기](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key).

[model ID를 가져오는 방법 알아보기](https://docs.roboflow.com/api-reference/workspace-and-project-ids).


---

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