twitter-roberta-base-sentiment-latest vs xlm-roberta-base-language-detection

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

cardiffnlp · A
Params
Context
512
30d
2.6 M
cc-by-4.0 · commercial OK
papluca · B
Params
280 M
Context
512
30d
687 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification twitter-roberta-base-sentiment-latest xlm-roberta-base-language-detection
Parameters 280 M
Architecture RobertaForSequenceClassification XLMRobertaForSequenceClassification
Context length 512 512
Licence cc-by-4.0 mit
Commercial use Allowed Allowed
Languages 1 21
Downloads 30d 2,615,473 686,812
Downloads all time 322.9 M 63.2 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2022-03-15 2022-03-02

Download trend

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

2.7 M643 K
twitter-roberta-base-sentiment-latest 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