Instructions to use strangervisionhf/dots.ocr-base-fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use strangervisionhf/dots.ocr-base-fix with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="strangervisionhf/dots.ocr-base-fix", trust_remote_code=True)
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("strangervisionhf/dots.ocr-base-fix", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use strangervisionhf/dots.ocr-base-fix with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "strangervisionhf/dots.ocr-base-fix"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "strangervisionhf/dots.ocr-base-fix",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/strangervisionhf/dots.ocr-base-fix

SGLang

How to use strangervisionhf/dots.ocr-base-fix with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "strangervisionhf/dots.ocr-base-fix" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "strangervisionhf/dots.ocr-base-fix",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "strangervisionhf/dots.ocr-base-fix" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "strangervisionhf/dots.ocr-base-fix",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use strangervisionhf/dots.ocr-base-fix with Docker Model Runner:
```
docker model run hf.co/strangervisionhf/dots.ocr-base-fix
```

prithivMLmods commited on Oct 24, 2025

Commit

200ae8f

verified ·

1 Parent(s): 4c97f61

Update README.md

Browse files

Files changed (1) hide show

README.md +26 -0

README.md CHANGED Viewed

@@ -9,3 +9,29 @@ Previously, inference with the model [[https://huggingface.co/rednote-hilab/dots
 **Error loading dots-ocr model: Received a NoneType for argument 'video_processor', but a BaseVideoProcessor was expected.** in the latest Transformers versions.
 This page, which includes the model weights and corrected configuration, fixed the issue and allowed Transformers inference to run smoothly.

 **Error loading dots-ocr model: Received a NoneType for argument 'video_processor', but a BaseVideoProcessor was expected.** in the latest Transformers versions.
 This page, which includes the model weights and corrected configuration, fixed the issue and allowed Transformers inference to run smoothly.
+> [!note]
+Last updated: 4:00 AM (IST), October 25, 2025.
+> [!note]
+The latest transformers version used as of the above date is `transformers==4.57.1` and the torch version `2.8.0+cu126`
+## Quick Start with Transformers
+> #### Install the required packages
+```py
+!pip install transformers torch torchvision gradio hf_xet \
+             huggingface_hub pillow accelerate peft \
+             matplotlib requests einops av sentencepiece\
+             transformers-stream-generator
+```
+> ### notebook login
+```py
+from huggingface_hub import notebook_login, HfApi
+notebook_login()
+```
+> ### Run [app.py]