roberta-base-go_emotions vs bert-base-multilingual-uncased-sentiment
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
nlptown · B · Open weights
Params
170 M
Context
512
30d
571 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | roberta-base-go_emotions | bert-base-multilingual-uncased-sentiment |
|---|---|---|
| Parameters | 120 M | 170 M |
| Architecture | RobertaForSequenceClassification | BertForSequenceClassification |
| Context length | 512 | 512 |
| Licence | mit | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 6 |
| Downloads 30d | 4,662,377 | 570,734 |
| Downloads all time | 106.9 M | 68.6 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-09-15 | 2022-03-02 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
5.4 M544 K
roberta-base-go_emotions
bert-base-multilingual-uncased-sentiment
A overtook B on 19 Sep
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
roberta-base-go_emotions · fp16
1.1 GB / 24 GB
bert-base-multilingual-uncased-sentiment · fp16
1.3 GB / 24 GB
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roberta-base-go_emotions vs Bangla-twoclass-Sentiment-Analyzer
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