twitter-roberta-base-sentiment-latest vs multilingual-sentiment-analysis
Specs, VRAM requirements and download trends — updated 6 August 2026.
cardiffnlp · A
Params
—
Context
512
30d
2.6 M
cc-by-4.0 · commercial OK
tabularisai · B
Params
140 M
Context
512
30d
399 K
cc-by-nc-4.0 · non-commercial
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | twitter-roberta-base-sentiment-latest | multilingual-sentiment-analysis |
|---|---|---|
| Parameters | — | 140 M |
| Architecture | RobertaForSequenceClassification | DistilBertForSequenceClassification |
| Context length | 512 | 512 |
| Licence | cc-by-4.0 | cc-by-nc-4.0 |
| Commercial use | Allowed | Not allowed |
| Languages | 1 | 23 |
| Downloads 30d | 2,615,473 | 398,660 |
| Downloads all time | 322.9 M | 5.9 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-15 | 2024-12-07 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
2.7 M399 K
twitter-roberta-base-sentiment-latest
multilingual-sentiment-analysis
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
multilingual-sentiment-analysis · fp16
1.1 GB / 24 GB
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