Trim prompt modes to official v2 ones (document, free)

DeepSeek-OCR-2 model card only documents two prompts.
Remove image/figure/describe modes carried over from v1.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

deepseek-ocr2-vllm.py

@@ -64,13 +64,10 @@ from vllm.model_executor.models.deepseek_ocr import NGramPerReqLogitsProcessor
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
-# Prompt mode presets (from DeepSeek-OCR GitHub)
+# Prompt mode presets (from DeepSeek-OCR-2 model card)
 PROMPT_MODES = {
     "document": "<image>\n<|grounding|>Convert the document to markdown.",
-    "image": "<image>\n<|grounding|>OCR this image.",
     "free": "<image>\nFree OCR.",
-    "figure": "<image>\nParse the figure.",
-    "describe": "<image>\nDescribe this image in detail.",
 }
 
 
@@ -428,17 +425,13 @@ if __name__ == "__main__":
         print("\nExample usage:")
         print("\n1. Basic OCR conversion (document mode with grounding):")
         print("   uv run deepseek-ocr2-vllm.py document-images markdown-docs")
-        print("\n2. Parse figures from documents:")
-        print(
-            "   uv run deepseek-ocr2-vllm.py scientific-papers figures --prompt-mode figure"
-        )
-        print("\n3. Free OCR without layout:")
+        print("\n2. Free OCR without layout:")
         print("   uv run deepseek-ocr2-vllm.py images text --prompt-mode free")
-        print("\n4. Process a subset for testing:")
+        print("\n3. Process a subset for testing:")
         print(
             "   uv run deepseek-ocr2-vllm.py large-dataset test-output --max-samples 10"
         )
-        print("\n5. Running on HF Jobs:")
+        print("\n4. Running on HF Jobs:")
         print("   hf jobs uv run --flavor l4x1 \\")
         print("     -s HF_TOKEN \\")
         print(
@@ -456,18 +449,12 @@ if __name__ == "__main__":
         epilog="""
 Prompt Modes:
   document  Convert document to markdown with grounding (default)
-  image     OCR any image with grounding
   free      Free OCR without layout preservation
-  figure    Parse figures from documents
-  describe  Generate detailed image descriptions
 
 Examples:
-  # Basic usage
+  # Basic usage (document mode with grounding)
   uv run deepseek-ocr2-vllm.py my-images-dataset ocr-results
 
-  # Parse figures from a document dataset
-  uv run deepseek-ocr2-vllm.py scientific-papers figures --prompt-mode figure
-
   # Free OCR without layout
   uv run deepseek-ocr2-vllm.py images text --prompt-mode free