Instructions to use openbmb/MiniCPM-V-2_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openbmb/MiniCPM-V-2_6 with Transformers:

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

pipe = pipeline("image-text-to-text", model="openbmb/MiniCPM-V-2_6", 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)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("openbmb/MiniCPM-V-2_6", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use openbmb/MiniCPM-V-2_6 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openbmb/MiniCPM-V-2_6"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openbmb/MiniCPM-V-2_6",
		"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/openbmb/MiniCPM-V-2_6

SGLang

How to use openbmb/MiniCPM-V-2_6 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 "openbmb/MiniCPM-V-2_6" \
    --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": "openbmb/MiniCPM-V-2_6",
		"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 "openbmb/MiniCPM-V-2_6" \
        --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": "openbmb/MiniCPM-V-2_6",
		"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 openbmb/MiniCPM-V-2_6 with Docker Model Runner:
```
docker model run hf.co/openbmb/MiniCPM-V-2_6
```

AttributeError: 'MiniCPMVTokenizerFast' object has no attribute 'image_processor'

#32

by shakaryan - opened Nov 11, 2024

Discussion

shakaryan

Nov 11, 2024

After using model for a few days, got this error and can not find any solution around the web. Does anybody solved this thing?

sitammeur

Nov 12, 2024

I am facing a similar issue in my spaces.

sxsun

Nov 14, 2024

Since the repository is private, you'd better define processor and pass it to chat function by yourself. Otherwise, it will call
self.processor = AutoProcessor.from_pretrained(self.config._name_or_path, trust_remote_code=True)
And get nothing without valid token.

macieksalwowski

Nov 17, 2024

initiating processor by yourself, with TOKEN - token to huggingfacehub:

processor = AutoProcessor.from_pretrained('openbmb/MiniCPM-V-2_6', trust_remote_code=True, token=TOKEN)

and passing it later in the chat:

res = model.chat(
    image=None,
    msgs=msgs,
    tokenizer=tokenizer,
    processor=processor,
)

did the job. :)

shakaryan

Nov 17, 2024

+1

initiating processor by yourself, with TOKEN - token to huggingfacehub:
processor = AutoProcessor.from_pretrained('openbmb/MiniCPM-V-2_6', trust_remote_code=True, token=TOKEN)
and passing it later in the chat:
res = model.chat(
    image=None,
    msgs=msgs,
    tokenizer=tokenizer,
    processor=processor,
)
did the job. :)

Thank you, for me worked logging in using hf cli login command.

This also worked, thanks.

shakaryan changed discussion status to closed Nov 17, 2024

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