finbert vs xlm-emo-t

Specs, VRAM requirements and download trends — updated 10 November 2026.

ProsusAI · A · Open weights
Params
110 M
Context
512
30d
3.3 M
cc-by-nc-sa-4.0 · non-commercial
MilaNLProc · B · Open weights
Params
—
Context
512
30d
488 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification finbert xlm-emo-t
Parameters 110 M —
Architecture BertForSequenceClassification XLMRobertaForSequenceClassification
Context length 512 512
Licence cc-by-nc-sa-4.0 —
Commercial use Not allowed Unknown
Languages 1 1
Downloads 30d 3,256,194 488,092
Downloads all time 127.0 M 3.7 M
Quantizations on the Hub SAFETENSORS —
Gated No No
First seen on the Hub 2022-03-02 2022-04-06

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

5.5 M456 K
finbert xlm-emo-t

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

finbert · fp16 1.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons