Add Qianfan-OCR to README (15 models)

README.md

@@ -7,7 +7,7 @@ tags: [uv-script, ocr, vision-language-model, document-processing, hf-jobs]
 
 > Part of [uv-scripts](https://huggingface.co/uv-scripts) - ready-to-run ML tools powered by UV and HuggingFace Jobs.
 
-14 OCR models from 0.9B to 8B parameters. Pick a model, point at your dataset, get markdown — no setup required.
+15 OCR models from 0.9B to 8B parameters. Pick a model, point at your dataset, get markdown — no setup required.
 
 ## 🚀 Quick Start
 
@@ -48,6 +48,7 @@ That's it! The script will:
 | `deepseek-ocr-vllm.py` | [DeepSeek-OCR](https://huggingface.co/deepseek-ai/DeepSeek-OCR) | 4B | vLLM | 5 resolution + 5 prompt modes |
 | `deepseek-ocr.py` | [DeepSeek-OCR](https://huggingface.co/deepseek-ai/DeepSeek-OCR) | 4B | Transformers | Same model, Transformers backend |
 | `deepseek-ocr2-vllm.py` | [DeepSeek-OCR-2](https://huggingface.co/deepseek-ai/DeepSeek-OCR-2) | 3B | vLLM | Newer, requires nightly vLLM |
+| `qianfan-ocr.py` | [Qianfan-OCR](https://huggingface.co/baidu/Qianfan-OCR) | 4.7B | vLLM | #1 OmniDocBench v1.5 (93.12), Layout-as-Thought, 192 languages |
 | `olmocr2-vllm.py` | [olmOCR-2-7B](https://huggingface.co/allenai/olmOCR-2-7B-1025-FP8) | 7B | vLLM | 82.4% olmOCR-Bench |
 | `rolm-ocr.py` | [RolmOCR](https://huggingface.co/reducto/RolmOCR) | 7B | vLLM | Qwen2.5-VL based, general-purpose |
 | `numarkdown-ocr.py` | [NuMarkdown-8B](https://huggingface.co/numind/NuMarkdown-8B-Thinking) | 8B | vLLM | Reasoning-based OCR |
@@ -422,6 +423,55 @@ hf jobs uv run --flavor l4x1 \
     --max-samples 100
 ```
 
+### Qianfan-OCR (`qianfan-ocr.py`) — #1 on OmniDocBench v1.5
+
+End-to-end document intelligence using [baidu/Qianfan-OCR](https://huggingface.co/baidu/Qianfan-OCR) with 4.7B parameters:
+
+- **93.12 on OmniDocBench v1.5** — #1 end-to-end model
+- **79.8 on OlmOCR Bench** — #1 end-to-end model
+- 🧠 **Layout-as-Thought** — Optional reasoning phase for complex layouts (`--think`)
+- 🌍 **192 languages** — Latin, CJK, Arabic, Cyrillic, and more
+- 📝 **OCR mode** — Document parsing to markdown (default)
+- 📊 **Table mode** — HTML table extraction
+- 📐 **Formula mode** — LaTeX recognition
+- 📈 **Chart mode** — Chart understanding and analysis
+- 🔍 **Scene mode** — Scene text extraction
+- 🔑 **KIE mode** — Key information extraction with custom prompts
+
+**Prompt Modes:**
+
+- `ocr`: Document parsing to markdown (default)
+- `table`: Table extraction to HTML
+- `formula`: Formula recognition to LaTeX
+- `chart`: Chart understanding
+- `scene`: Scene text extraction
+- `kie`: Key information extraction (requires `--custom-prompt`)
+
+**Quick start:**
+
+```bash
+# Basic OCR
+hf jobs uv run --flavor l4x1 \
+    -s HF_TOKEN \
+    https://huggingface.co/datasets/uv-scripts/ocr/raw/main/qianfan-ocr.py \
+    your-input-dataset your-output-dataset \
+    --max-samples 100
+
+# Layout-as-Thought for complex documents
+hf jobs uv run --flavor l4x1 \
+    -s HF_TOKEN \
+    https://huggingface.co/datasets/uv-scripts/ocr/raw/main/qianfan-ocr.py \
+    your-input-dataset your-output-dataset \
+    --think --max-samples 50
+
+# Key information extraction
+hf jobs uv run --flavor l4x1 \
+    -s HF_TOKEN \
+    https://huggingface.co/datasets/uv-scripts/ocr/raw/main/qianfan-ocr.py \
+    invoices extracted-fields \
+    --prompt-mode kie --custom-prompt "Extract: name, date, total. Output as JSON."
+```
+
 ### olmOCR2 (`olmocr2-vllm.py`)
 
 High-quality document OCR using [allenai/olmOCR-2-7B-1025-FP8](https://huggingface.co/allenai/olmOCR-2-7B-1025-FP8) optimized with GRPO reinforcement learning: