twitter-roberta-base-sentiment-latest vs Bangla-twoclass-Sentiment-Analyzer
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
Arunavaonly · B
Params
280 M
Context
512
30d
454 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | twitter-roberta-base-sentiment-latest | Bangla-twoclass-Sentiment-Analyzer |
|---|---|---|
| Parameters | — | 280 M |
| Architecture | RobertaForSequenceClassification | XLMRobertaForSequenceClassification |
| Context length | 512 | 512 |
| Licence | cc-by-4.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 2,615,473 | 454,067 |
| Downloads all time | 322.9 M | 2.7 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-15 | 2023-09-03 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
2.7 M453 K
twitter-roberta-base-sentiment-latest
Bangla-twoclass-Sentiment-Analyzer
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Bangla-twoclass-Sentiment-Analyzer · fp16
1.8 GB / 24 GB
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