distilbert-base-uncased-finetuned-sst-2-english vs fasttext-language-identification
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
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 | distilbert-base-uncased-finetuned-sst-2-english | fasttext-language-identification |
|---|---|---|
| Parameters | 70 M | — |
| Architecture | DistilBertForSequenceClassification | — |
| Context length | 512 | — |
| Licence | apache-2.0 | cc-by-nc-4.0 |
| Commercial use | Allowed | Not allowed |
| Languages | 1 | — |
| Downloads 30d | 2,924,671 | 830,390 |
| Downloads all time | 407.0 M | 186.4 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2023-03-06 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.9 M260 K
distilbert-base-uncased-finetuned-sst-2-english
fasttext-language-identification
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
Adjacent comparisons
bge-reranker-v2-m3 vs fasttext-language-identification
distilbert-base-uncased-finetuned-sst-2-english vs roberta-base-go_emotions
distilbert-base-uncased-finetuned-sst-2-english vs twitter-roberta-base-sentiment-latest
finbert vs distilbert-base-uncased-finetuned-sst-2-english
bge-reranker-v2-m3 vs distilbert-base-uncased-finetuned-sst-2-english
roberta-base-go_emotions vs fasttext-language-identification