Bangla-twoclass-Sentiment-Analyzer vs bert-finetuned-japanese-sentiment
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 | bert-finetuned-japanese-sentiment |
|---|---|---|
| Parameters | 280 M | — |
| Architecture | XLMRobertaForSequenceClassification | BertForSequenceClassification |
| Context length | 512 | 512 |
| Licence | mit | cc-by-sa-4.0 |
| Commercial use | Allowed | Unknown |
| Languages | — | 1 |
| Downloads 30d | 3,368,929 | 248,321 |
| Downloads all time | 7.5 M | 1.3 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2023-09-03 | 2023-04-06 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.4 M221 K
Bangla-twoclass-Sentiment-Analyzer
bert-finetuned-japanese-sentiment
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
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