finbert vs fasttext-language-identification
Specs, VRAM requirements and download trends — updated 10 November 2026.
ProsusAI · A · Open weights
Params
110 M
Context
512
30d
3.3 M
cc-by-nc-sa-4.0 · non-commercial
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 | finbert | fasttext-language-identification |
|---|---|---|
| Parameters | 110 M | — |
| Architecture | BertForSequenceClassification | — |
| Context length | 512 | — |
| Licence | cc-by-nc-sa-4.0 | cc-by-nc-4.0 |
| Commercial use | Not allowed | Not allowed |
| Languages | 1 | — |
| Downloads 30d | 3,256,194 | 830,390 |
| Downloads all time | 127.0 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)
5.5 M260 K
finbert
fasttext-language-identification
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
finbert · fp16
1.0 GB / 24 GB