Add NuMarkdown to README with HF Jobs example

README.md

@@ -50,6 +50,27 @@ State-of-the-art document OCR using [nanonets/Nanonets-OCR-s](https://huggingfac
 - 🖼️ **Images** - Captions and descriptions included
 - ☑️ **Forms** - Checkboxes rendered as ☐/☑
 
+### SmolDocling (`smoldocling-ocr.py`)
+
+Ultra-compact document understanding using [ds4sd/SmolDocling-256M-preview](https://huggingface.co/ds4sd/SmolDocling-256M-preview) with only 256M parameters:
+
+- 🏷️ **DocTags format** - Efficient XML-like representation
+- 💻 **Code blocks** - Preserves indentation and syntax
+- 🔢 **Formulas** - Mathematical expressions with layout
+- 📊 **Tables & charts** - Structured data extraction
+- 📐 **Layout preservation** - Bounding boxes and spatial info
+- ⚡ **Ultra-fast** - Tiny model size for quick inference
+
+### NuMarkdown (`numarkdown-ocr.py`)
+
+Advanced reasoning-based OCR using [numind/NuMarkdown-8B-Thinking](https://huggingface.co/numind/NuMarkdown-8B-Thinking) that analyzes documents before converting to markdown:
+
+- 🧠 **Reasoning Process** - Thinks through document layout before generation
+- 📊 **Complex Tables** - Superior table extraction and formatting
+- 📐 **Mathematical Formulas** - Accurate LaTeX/math notation preservation
+- 🔍 **Multi-column Layouts** - Handles complex document structures
+- ✨ **Thinking Traces** - Optional inclusion of reasoning process with `--include-thinking`
+
 
 ## 🆕 New Features
 
@@ -113,6 +134,17 @@ hf jobs uv run \
     --max-model-len 16384 \
     --batch-size 128
 
+# NuMarkdown with reasoning traces for complex documents
+hf jobs uv run \
+    --image vllm/vllm-openai:latest \
+    --flavor l4x4 \
+    -s HF_TOKEN=$(python3 -c "from huggingface_hub import get_token; print(get_token())") \
+    https://huggingface.co/datasets/uv-scripts/ocr/raw/main/numarkdown-ocr.py \
+    your-input-dataset your-output-dataset \
+    --max-samples 50 \
+    --include-thinking \
+    --shuffle
+
 # Private dataset with custom settings
 hf jobs uv run --flavor l40sx1 \
     -s HF_TOKEN=$(python3 -c "from huggingface_hub import get_token; print(get_token())") \