WIP, first working code for inference of SmolDocling, and vlm pipeline assembly code, example included.

Signed-off-by: Maksym Lysak <mly@zurich.ibm.com>

docs/examples/minimal_smol_docling.py

@@ -1,10 +1,12 @@
+from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
 from docling.datamodel.base_models import InputFormat
 from docling.datamodel.pipeline_options import PdfPipelineOptions
 from docling.document_converter import DocumentConverter, PdfFormatOption
 from docling.pipeline.vlm_pipeline import VlmPipeline
 
 # source = "https://arxiv.org/pdf/2408.09869"  # document per local path or URL
-source = "tests/data/2305.03393v1-pg9-img.png"
+# source = "tests/data/2305.03393v1-pg9-img.png"
+source = "tests/data/2305.03393v1-pg9.pdf"
 
 pipeline_options = PdfPipelineOptions()
 pipeline_options.artifacts_path = "model_artifacts"
@@ -12,13 +14,40 @@ pipeline_options.artifacts_path = "model_artifacts"
 converter = DocumentConverter(
     format_options={
         InputFormat.PDF: PdfFormatOption(
-            pipeline_cls=VlmPipeline, pipeline_options=pipeline_options
-        )
+            pipeline_cls=VlmPipeline,
+            pipeline_options=pipeline_options,
+            backend=DoclingParseDocumentBackend,
+        ),
+        InputFormat.IMAGE: PdfFormatOption(
+            pipeline_cls=VlmPipeline,
+            pipeline_options=pipeline_options,
+            backend=DoclingParseDocumentBackend,
+        ),
     }
 )
+
+print("============")
+print("starting...")
+print("============")
+print("")
+
 result = converter.convert(source)
+
+print("------------")
+print("result:")
+print("------------")
+print("")
+print(result)
+
+print("------------")
+print("MD:")
+print("------------")
+print("")
 print(result.document.export_to_markdown())
 
+print("")
+print("============")
 print("done!")
+print("============")
 
 # output: ## Docling Technical Report [...]"