bertweet-base-sentiment-analysis vs xlm-roberta-base-language-detection

Specs, VRAM requirements and download trends — updated 6 August 2026.

finiteautomata · A
Params
Context
128
30d
1.5 M
papluca · B
Params
280 M
Context
512
30d
687 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification bertweet-base-sentiment-analysis xlm-roberta-base-language-detection
Parameters 280 M
Architecture RobertaForSequenceClassification XLMRobertaForSequenceClassification
Context length 128 512
Licence mit
Commercial use Unknown Allowed
Languages 1 21
Downloads 30d 1,483,885 686,812
Downloads all time 36.6 M 63.2 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2022-03-02

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

1.5 M643 K
bertweet-base-sentiment-analysis xlm-roberta-base-language-detection

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

xlm-roberta-base-language-detection · fp16 1.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons