feat(datascience): GLiREL relation extractor (zero-shot triplets) drop-in con LLM

- glirel_load_model: cache por (model_name, device); device='auto' resuelve via torch
- extract_relations_glirel: tokeniza por whitespace, mapea spans char->token,
  llama predict_relations y devuelve RelationCandidate; fallback text.find si la
  entidad llega sin offsets; max_pairs=N -> top-N por score
- pyproject.toml: glirel en extra nlp

Closes #0039

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

This commit is contained in:

egutierrez

2026-04-30 16:41:09 +02:00

parent 1bd315ce7b

commit 09f7f0ba1c

5 changed files with 494 additions and 0 deletions

									
										python/pyproject.toml
									
		+1
		
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				@@ -22,6 +22,7 @@ dependencies = [

				[project.optional-dependencies]

				nlp = [

				    "gliner>=0.2.13",

				    "glirel>=1.0.0",

				]

				[dependency-groups]