finbert vs twitter-xlm-roberta-base-sentiment-multilingual
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
cardiffnlp · B · Open weights
Params
—
Context
512
30d
230 K
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | finbert | twitter-xlm-roberta-base-sentiment-multilingual |
|---|---|---|
| Parameters | 110 M | — |
| Architecture | BertForSequenceClassification | XLMRobertaForSequenceClassification |
| Context length | 512 | 512 |
| Licence | cc-by-nc-sa-4.0 | — |
| Commercial use | Not allowed | Unknown |
| Languages | 1 | — |
| Downloads 30d | 3,256,194 | 230,223 |
| Downloads all time | 127.0 M | 11.9 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2022-12-01 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
5.5 M206 K
finbert
twitter-xlm-roberta-base-sentiment-multilingual
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
finbert · fp16
1.0 GB / 24 GB