finbert-tone vs Bangla-twoclass-Sentiment-Analyzer

Specs, VRAM requirements and download trends — updated 10 November 2026.

yiyanghkust · A · Open weights
Params
—
Context
512
30d
557 K
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 finbert-tone Bangla-twoclass-Sentiment-Analyzer
Parameters — 280 M
Architecture BertForSequenceClassification XLMRobertaForSequenceClassification
Context length 512 512
Licence — mit
Commercial use Unknown Allowed
Languages 1 —
Downloads 30d 556,841 3,368,929
Downloads all time 58.6 M 7.5 M
Quantizations on the Hub — 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
finbert-tone 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
✅ Runs comfortably

Adjacent comparisons