bert-base-multilingual-uncased-sentiment vs Bangla-twoclass-Sentiment-Analyzer
Specs, VRAM requirements and download trends — updated 10 November 2026.
nlptown · A · Open weights
Params
170 M
Context
512
30d
571 K
mit · commercial OK
Arunavaonly · B · Open weights
Params
280 M
Context
512
30d
3.4 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bert-base-multilingual-uncased-sentiment | Bangla-twoclass-Sentiment-Analyzer |
|---|---|---|
| Parameters | 170 M | 280 M |
| Architecture | BertForSequenceClassification | XLMRobertaForSequenceClassification |
| Context length | 512 | 512 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | 6 | — |
| Downloads 30d | 570,734 | 3,368,929 |
| Downloads all time | 68.6 M | 7.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2023-09-03 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.4 M381 K
bert-base-multilingual-uncased-sentiment
Bangla-twoclass-Sentiment-Analyzer
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
bert-base-multilingual-uncased-sentiment · fp16
1.3 GB / 24 GB
Bangla-twoclass-Sentiment-Analyzer · fp16
1.8 GB / 24 GB
Adjacent comparisons
bge-reranker-v2-m3 vs Bangla-twoclass-Sentiment-Analyzer
twitter-roberta-base-sentiment-latest vs Bangla-twoclass-Sentiment-Analyzer
bge-reranker-base vs Bangla-twoclass-Sentiment-Analyzer
roberta-base-go_emotions vs Bangla-twoclass-Sentiment-Analyzer
Prompt-Guard-86M vs Bangla-twoclass-Sentiment-Analyzer
finbert vs Bangla-twoclass-Sentiment-Analyzer