Chukwuma Nwaugha

nwaughachukwuma

5 1 16

https://nwaughachukwuma.github.io/portfolio

AI & ML interests

NLP for Sentiments and Emotions Analysis; Word Similarities; Text relevance within the context of a Sentence; Word search

Recent Activity

liked a model about 20 hours ago

baidu/Unlimited-OCR

liked a model about 20 hours ago

moonshotai/Kimi-K3

new activity 5 days ago

huggingface/InferenceSupport:baidu/Unlimited-OCR

View all activity

Organizations

# One API for Every Visual & OCR Models.

The VLM Run Gateway is a fully compatible API for OpenAI chat completions for visual intelligence. If you’re building document extraction or visual understanding, the Gateway exposes OCR, VQA, and detection behind a single interface you already know.

Read the docs: https://docs.vlm.run/gateway/introduction.

We actively support the following recent OCR and VQA models, which you can try today at no cost:

* zai-org/glm-ocr
* rednote-hilab/dots.mocr
* paddleocr/pp-ocrv6
* qwen/qwen3.5-0.8b

## Quickstart

### Python

from openai import OpenAI

client = OpenAI(base_url="https://gateway.vlm.run/v1/openai")

response = client.chat.completions.create(
    model="zai-org/glm-ocr",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "document_url",
                    "document_url": {
                        "url": "https://storage.googleapis.com/vlm-data-public-prod/hub/examples/finance.sec-filings/tsla-8k.pdf"
                    },
                },
            ],
        }
    ],
    extra_body={"method": "markdown", "document_dpi": 150},
)

print(response.choices[0].message.content)

### Curl

curl https://gateway.vlm.run/v1/openai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer vlmrun" \
  -d '{
    "model": "zai-org/glm-ocr",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "document_url",
            "document_url": {
              "url": "https://storage.googleapis.com/vlm-data-public-prod/hub/examples/finance.sec-filings/tsla-8k.pdf"
            }
          }
        ]
      }
    ],
    "method": "markdown",
    "document_dpi": 150
  }'

## Auth and limits

Anonymous auth is enabled, so you can omit the authorization header entirely, or send Bearer "" or Bearer vlmrun. Rate limits are 60 req/min and 1000 req/hr.