twitter-roberta-base-sentiment-latest vs Bangla-twoclass-Sentiment-Analyzer
Specs, VRAM requirements and download trends — updated 10 November 2026.
cardiffnlp · A · Open weights
Params
—
Context
512
30d
2.4 M
cc-by-4.0 · 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 | 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 | 2,413,051 | 3,368,929 |
| Downloads all time | 332.1 M | 7.5 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 90 days (13 Aug – 10 Nov)
3.4 M381 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
Adjacent comparisons
bge-reranker-v2-m3 vs twitter-roberta-base-sentiment-latest
bge-reranker-v2-m3 vs Bangla-twoclass-Sentiment-Analyzer
twitter-roberta-base-sentiment-latest vs roberta-base-go_emotions
bge-reranker-base vs Bangla-twoclass-Sentiment-Analyzer
finbert vs twitter-roberta-base-sentiment-latest
distilbert-base-uncased-finetuned-sst-2-english vs twitter-roberta-base-sentiment-latest