- project.yml: new md workflow (vectors-md, train-dep-md, train-ner-md,
finalize-dep-md, assemble-core-md, evaluate-md, finalize-meta-md,
compare-md, package-md, smoke-md), same corpus/architecture as sm plus
the fa_floret static vector table (50k rows x 300d, 400k Persian
documents).
- configs/fa_dep_news_md.cfg, configs/fa_ner_md.cfg: byte-identical to the
sm configs except include_static_vectors, isolating what the vectors buy.
- scripts/unpack_vectors.py: extracts a floret wheel's vectors-only
pipeline into a directory --paths.vectors can point at.
- scripts/finalize_pipeline.py: --size now accepts md (floret source +
vectors note), plus lg/trf (used by the pending Colab notebook on
colab-lg-trf-training; lg's vectors note is generated from the trained
model's actual vector table shape since that tier is still being
iterated on).
- scripts/compare_tiers.py: sm vs md metrics diff.
- docs/MODELS.md, README.md, README.fa.md: md tier results, fa_ent_news_md
package row, and the analysis of why floret helps NER recall.
- docs/CONTRIBUTING-GUIDE.md, README.md, README.fa.md: fixed every
documented pip install URL. spacy huggingface-hub push names the
uploaded wheel '<name>-any-py3-none-any.whl'; 'any' is not a valid PEP
440 version, so current pip rejects it. Re-uploaded a correctly
versioned copy of every published wheel (fa_core_news_sm, fa_dep_news_sm,
fa_ent_news_md) to the Hub and repointed the docs at that filename.
Mohamad Fazeli
8e42c38ed6
