oliverguhr / token-classification updated 2 years ago

fullstop-punctuation-multilang-large

Name: fullstop-punctuation-multilang-large
Author: oliverguhr

This model predicts the punctuation of English, Italian, French and German texts. We developed it to restore the punctuation of transcribed spoken language.

Params

560 M

Context

512

Downloads 30d

511 K

Likes

179

Commercial use: allowed mit Not gated SAFETENSORS 5 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

643 K511 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	2.2 GB	3.0 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: XLMRobertaForTokenClassification
Parameters: 560 M
Tensor type: F32
Context length: 512
Vocabulary: 250,002
Layers / heads: 24 / 16
Licence: mit
First seen on the Hub: 2022-03-02
Training datasets: wmt/europarl
Added to our catalog: 2026-07-28

Compare with

indonesian-roberta-base-posp-tagger 3.1 M stanford-deidentifier-base 1.9 M punctuate-all 708 K bert-large-cased-finetuned-conll03-english 699 K ner-english-fast 543 K bert-portuguese-ner 452 K

Appears in

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