facebook / translation updated 3 years ago

nllb-200-3.3B

- Information about training algorithms, parameters, fairness constraints or other applied approaches, and features. The exact training algorithm, data and the strategies to handle data imbalances for high and low resource languages that were used to train NLLB-200 is described in the paper. - Paper or other resource for more information NLLB Team et al, No Language Left Behind: Scaling Human-Centered Machine Transla...

Params
3.3 B
Context
1,024
Downloads 30d
182 K
Likes
475
Commercial use: not allowed · cc-by-nc-4.0 Not gated 196 languages View on Hugging Face ↗

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Specifications

Architecture
M2M100ForConditionalGeneration
Parameters
3.3 B
Context length
1,024
Vocabulary
256,206
Licence
cc-by-nc-4.0
First seen on the Hub
2022-07-08
Training datasets
flores-200
Added to our catalog
2026-07-28
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