distilbert-base-uncased-finetuned-sst-2-english vs bert-finetuned-japanese-sentiment
Specs, VRAM requirements and download trends — updated 10 November 2026.
distilbert · A · Open weights
Params
70 M
Context
512
30d
2.9 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | distilbert-base-uncased-finetuned-sst-2-english | bert-finetuned-japanese-sentiment |
|---|---|---|
| Parameters | 70 M | — |
| Architecture | DistilBertForSequenceClassification | BertForSequenceClassification |
| Context length | 512 | 512 |
| Licence | apache-2.0 | cc-by-sa-4.0 |
| Commercial use | Allowed | Unknown |
| Languages | 1 | 1 |
| Downloads 30d | 2,924,671 | 248,321 |
| Downloads all time | 407.0 M | 1.3 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2023-04-06 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.9 M221 K
distilbert-base-uncased-finetuned-sst-2-english
bert-finetuned-japanese-sentiment
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
distilbert-base-uncased-finetuned-sst-2-english · fp16
0.8 GB / 24 GB
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finbert vs distilbert-base-uncased-finetuned-sst-2-english
bge-reranker-v2-m3 vs distilbert-base-uncased-finetuned-sst-2-english
bge-reranker-v2-m3 vs bert-finetuned-japanese-sentiment
distilbert-base-uncased-finetuned-sst-2-english vs Bangla-twoclass-Sentiment-Analyzer