Bangla-twoclass-Sentiment-Analyzer vs roberta-large-mnli
Specs, VRAM requirements and download trends — updated 24 October 2026.
Arunavaonly · A · Open weights
Params
280 M
Context
512
30d
1.9 M
mit · commercial OK
FacebookAI · B · Open weights
Params
360 M
Context
512
30d
246 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Bangla-twoclass-Sentiment-Analyzer | roberta-large-mnli |
|---|---|---|
| Parameters | 280 M | 360 M |
| Architecture | XLMRobertaForSequenceClassification | RobertaForSequenceClassification |
| Context length | 512 | 512 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | 1 |
| Downloads 30d | 1,870,332 | 245,953 |
| Downloads all time | 5.3 M | 25.6 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-09-03 | 2022-03-02 |
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
1.9 M203 K
Bangla-twoclass-Sentiment-Analyzer
roberta-large-mnli
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Bangla-twoclass-Sentiment-Analyzer · fp16
1.8 GB / 24 GB
roberta-large-mnli · fp16
2.1 GB / 24 GB
Adjacent comparisons
bge-reranker-v2-m3 vs Bangla-twoclass-Sentiment-Analyzer
bge-reranker-base vs Bangla-twoclass-Sentiment-Analyzer
Prompt-Guard-86M vs Bangla-twoclass-Sentiment-Analyzer
twitter-roberta-base-sentiment-latest vs Bangla-twoclass-Sentiment-Analyzer
roberta-base-go_emotions vs Bangla-twoclass-Sentiment-Analyzer
finbert vs Bangla-twoclass-Sentiment-Analyzer