> 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/glm-ocr.md).

# GLM-OCR

GLM-OCR은 GLM 비전-언어 모델 계열을 기반으로 한 OCR 모델입니다. 이미지에서 텍스트를 추출하며, 혼합된 레이아웃의 문서, 표지판, 라벨에 잘 적합합니다. 우리는 우리의 [Serverless Hosted API](/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2.md), [Dedicated Deployments](/roboflow/roboflow-ko/deploy/dedicated-deployments.md)그리고 [자체 호스팅 Inference](https://inference.roboflow.com/).

## 코드 샘플

GLM-OCR은 공유된 `/infer/lmm` 엔드포인트를 통해 실행됩니다. 다음으로 직접 호출하세요 `curl`:

```bash
curl --location 'https://serverless.roboflow.com/infer/lmm' \
  --header 'Content-Type: application/json' \
  --data '{
    "api_key": "YOUR_API_KEY",
    "image": {"type": "url", "value": "https://media.roboflow.com/inference/license_plate_1.jpg"},
    "model_id": "glm-ocr",
    "prompt": "OCR",
    "max_new_tokens": 128
  }'
```

SDK를 통한 동일한 호출입니다. 설치하세요:

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

다음 값을 전달하세요 [Roboflow API Key](https://app.roboflow.com/settings/api) 를 `API_KEY` 환경 변수.

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

image_url = "https://media.roboflow.com/inference/license_plate_1.jpg"
image_path = "license_plate_1.jpg"
urllib.request.urlretrieve(image_url, image_path)

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.getenv("API_KEY"),
)
result = client.infer_lmm(
    image_path,
    model_id="glm-ocr",
    prompt="OCR",
    max_new_tokens=128,
)
print(result["response"])
```

위 코드는 인식된 텍스트를 터미널에 출력합니다:

```
280 SE
AUTOMATIC
34 T 6511
```

{% 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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