MiniCPM-OCR How to use FastFlowLM/MiniCPM-OCR-1.0-NPU2 with MiniCPM-OCR:
pip install "minicpm-ocr[all]" huggingface_hub
# Deploy FastFlowLM/MiniCPM-OCR-1.0-NPU2 as a recognition service before running the Python example:
# https://github.com/OpenBMB/MiniCPM-OCR/blob/main/docs/vllm_deploy_en.md
# vLLM: load the model above; use --port 8080,
# --served-model-name minicpm-ocr and --max-model-len 40960.
# Layout detection uses cuda:0; recognition runs on the deployed service.
from importlib.resources import files
from pathlib import Path
from minicpmvocr import load_config, pipelined_run
from huggingface_hub import snapshot_download
layout_model = snapshot_download("PaddlePaddle/PP-DocLayoutV3")
cfg = load_config(
str(files("minicpmvocr").joinpath("configs/minicpmvocr.yaml")),
overrides={
"input": {"file_path": str(Path("demo.png").resolve())},
"engine": {
"type": "vllm",
"server_url": "http://127.0.0.1:8080",
"model_name": "minicpm-ocr",
"max_model_len": 40960,
},
"layout": {"model_dir": layout_model, "device": "cuda:0"},
# Render PDFs in-process so this example also works without a main guard.
"pipeline": {"overlap_layout": True, "render_workers": 1},
},
)
pipelined_run(cfg) 
