distilbert-base-uncased-finetuned-sst-2-english vs fasttext-language-identification
Specs, VRAM requirements and download trends — updated 6 August 2026.
distilbert · A
Params
70 M
Context
512
30d
3.7 M
apache-2.0 · commercial OK
facebook · B
Params
—
Context
—
30d
384 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 | 3,651,414 | 384,245 |
| Downloads all time | 396.4 M | 184.8 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 10 days (28 Jul – 6 Aug)
3.7 M384 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
finbert vs distilbert-base-uncased-finetuned-sst-2-english
distilbert-base-uncased-finetuned-sst-2-english vs twitter-roberta-base-sentiment-latest
bge-reranker-v2-m3 vs distilbert-base-uncased-finetuned-sst-2-english
bge-reranker-v2-m3 vs fasttext-language-identification
distilbert-base-uncased-finetuned-sst-2-english vs bertweet-base-sentiment-analysis
bge-reranker-base vs distilbert-base-uncased-finetuned-sst-2-english