Bangla-twoclass-Sentiment-Analyzer vs glotlid
Specs, VRAM requirements and download trends — updated 10 November 2026.
Arunavaonly · A · Open weights
Params
280 M
Context
512
30d
3.4 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Bangla-twoclass-Sentiment-Analyzer | glotlid |
|---|---|---|
| Parameters | 280 M | — |
| Architecture | XLMRobertaForSequenceClassification | — |
| Context length | 512 | — |
| Licence | mit | other |
| Commercial use | Allowed | Unknown |
| Languages | — | 2155 |
| Downloads 30d | 3,368,929 | 641,086 |
| Downloads all time | 7.5 M | 3.8 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2023-09-03 | 2023-10-19 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.4 M215 K
Bangla-twoclass-Sentiment-Analyzer
glotlid
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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