spacy-fa-pipeline/docs
Mohamad Fazeli 4135142e72
Fill in trf throughput on the 940MX
The 940MX does run trf, at 1,158 words/s with batch 32 inside 2 GB, 6.2x its host
CPU. The earlier claim that current PyTorch wheels cannot target sm_50 was only
half right: Maxwell kernels were dropped from the cu128 and cu129 builds starting
torch 2.8, which is what `pip install torch` now resolves to, but the cu126 build
of 2.7.1 still ships sm_50 and works.

.venv-trf-gpu pins torch==2.7.1+cu126 for this and stays separate from .venv,
whose cupy runs on nvidia-* 12.9 wheels that torch would downgrade to 12.6.

Drop the editorial sentence from the generated model card; the table states it.
2026-08-13 17:11:25 +03:30
..
upstream Ship fa_core_news_sm: PerDT carries its own NER layer 2026-08-01 00:59:16 +03:30
CONTRIBUTING-GUIDE.md Ship the md tier: floret vectors, docs, and HF publish fixes 2026-08-12 13:15:55 +03:30
MODELS.md Fill in trf throughput on the 940MX 2026-08-13 17:11:25 +03:30