wip smolDocling inference and vlm pipeline

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

docs/examples/minimal_smol_docling.py

@@ -1,13 +1,24 @@
 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 = "https://arxiv.org/pdf/2408.09869"  # document per local path or URL
+source = "tests/data/2305.03393v1-pg9-img.png"
+
+pipeline_options = PdfPipelineOptions()
+pipeline_options.artifacts_path = "model_artifacts"
+
 converter = DocumentConverter(
-    doc_converter=DocumentConverter(
-        format_options={InputFormat.PDF: PdfFormatOption(pipeline_cls=VlmPipeline)}
-    )
+    format_options={
+        InputFormat.PDF: PdfFormatOption(
+            pipeline_cls=VlmPipeline, pipeline_options=pipeline_options
+        )
+    }
 )
 result = converter.convert(source)
 print(result.document.export_to_markdown())
+
+print("done!")
+
 # output: ## Docling Technical Report [...]"