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EliSchwartz 1569e42f84 feat: implement GraniteVisionTableStructureModel for VLM-based table extraction (#3323 )

Add a new table structure model using IBM Granite Vision to extract table
structure from document images via OTSL token generation.

Changes:
- Add `GraniteVisionTableStructureOptions` with configurable model repo,
  device, batch size, and crop padding options
- Implement `GraniteVisionTableStructureModel` that uses a VLM pipeline to
  generate OTSL tokens from cropped table images, then parses them into
  `TableData` with cells, rows, and columns
- Register the model in `table_structure_engines` alongside existing engines
- Add example script `docs/examples/granite_vision_table_structure.py`
- Add tests covering options, model enable/disable, OTSL parsing (including
  self-closing tags xcel/srow/ecel), and invalid-backend error handling
- Update model catalog docs and CI workflow accordingly

Signed-off-by: Eli Schwartz <eli.shw@gmail.com>

2026-04-17 11:02:20 +02:00

advanced_options.md

docs: update opensearch notebook and backend documentation (#2519 )

2025-10-27 10:02:50 +01:00

enrichments.md

feat: Switch to the latest version of DocumentFigureClassifier model v2.5 (#3171 )

2026-04-01 11:49:55 +02:00

gpu.md

docs(gpu): Add benchmarks of standard pipeline with OCR (#2764 )

2025-12-10 20:43:20 +01:00

index.md

feat: Add granite-docling model (#2272 )