Image-Text-to-Text
Transformers
Safetensors
multilingual
minicpmv
feature-extraction
minicpm-v
vision
ocr
multi-image
video
custom_code
conversational
Instructions to use openbmb/MiniCPM-V-2_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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, device_map="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
Fix `NameError: name 'List' is not defined.`
#55
by sylwia-kuros - opened
Command:optimum-cli export openvino ./minicpm-v-2_6/pytorch/ov/fp16 --framework pt --task image-text-to-text --weight-format fp16 --trust-remote-code --model ./minicpm-v-2_6/pytorch
Output:
Traceback (most recent call last):
File "user/venv/bin/optimum-cli", line 8, in <module>
sys.exit(main())
File "user/venv/lib/python3.10/site-packages/optimum/commands/optimum_cli.py", line 208, in main
service.run()
File "user/venv/lib/python3.10/site-packages/optimum/commands/export/openvino.py", line 500, in run
main_export(
File "user/venv/lib/python3.10/site-packages/optimum/exporters/openvino/__main__.py", line 383, in main_export
model = TasksManager.get_model_from_task(
File "user/venv/lib/python3.10/site-packages/optimum/exporters/tasks.py", line 2317, in get_model_from_task
model = model_class.from_pretrained(model_name_or_path, **kwargs)
File "user/venv/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 553, in from_pretrained
model_class = get_class_from_dynamic_module(
File "user/venv/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 553, in get_class_from_dynamic_module
return get_class_in_module(class_name, final_module, force_reload=force_download)
File "user/venv/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 250, in get_class_in_module
module_spec.loader.exec_module(module)
File "<frozen importlib._bootstrap_external>", line 883, in exec_module
File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
File "/home/user/.cache/huggingface/modules/transformers_modules/pytorch/modeling_minicpmv.py", line 14, in <module>
from .resampler import Resampler
File "/home/user/.cache/huggingface/modules/transformers_modules/pytorch/resampler.py", line 682, in <module>
) -> List[Tensor]:
NameError: name 'List' is not defined.
meeting the same issue here when executing below command:
optimum-cli export openvino --model openbmb/MiniCPM-V-2_6 MiniCPM-V-2_6-ov --trust-remote-code --weight-format fp16 --task image-text-to-text
I tried the patch and it fix the issue.
tc-mb changed pull request status to merged