roberta-base-go_emotions vs fasttext-language-identification

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

SamLowe · A · Open weights
Params
120 M
Context
512
30d
4.7 M
mit · commercial OK
facebook · B · Open weights
Params
—
Context
—
30d
830 K
cc-by-nc-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification roberta-base-go_emotions fasttext-language-identification
Parameters 120 M —
Architecture RobertaForSequenceClassification —
Context length 512 —
Licence mit cc-by-nc-4.0
Commercial use Allowed Not allowed
Languages 1 —
Downloads 30d 4,662,377 830,390
Downloads all time 106.9 M 186.4 M
Quantizations on the Hub SAFETENSORS —
Gated No No
First seen on the Hub 2022-09-15 2023-03-06

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

5.4 M260 K
roberta-base-go_emotions fasttext-language-identification

VRAM side by side

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

roberta-base-go_emotions · fp16 1.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons