This is based on Oliver Guhr's work. The difference is that it is a finetuned xlm-roberta-base instead of an xlm-roberta-large and on twelve languages instead of four. The languages are: English, German, French, Spanish, Bulgarian, Italian, Polish, Dutch, Czech, Portugese, Slovak, Slovenian.

----- report -----

          precision    recall  f1-score   support

       0       0.99      0.99      0.99  73317475
       .       0.94      0.95      0.95   4484845
       ,       0.86      0.86      0.86   6100650
       ?       0.88      0.85      0.86    136479
       -       0.60      0.29      0.39    233630
       :       0.71      0.49      0.58    152424

accuracy                           0.98  84425503

macro avg 0.83 0.74 0.77 84425503 weighted avg 0.98 0.98 0.98 84425503

----- confusion matrix -----

 t/p      0     .     ,     ?     -     : 
    0   1.0   0.0   0.0   0.0   0.0   0.0 
    .   0.0   1.0   0.0   0.0   0.0   0.0 
    ,   0.1   0.0   0.9   0.0   0.0   0.0 
    ?   0.0   0.1   0.0   0.8   0.0   0.0 
    -   0.1   0.1   0.5   0.0   0.3   0.0 
    :   0.0   0.3   0.1   0.0   0.0   0.5

onnx-community/punctuate-all-ONNX

punctuate-all (ONNX)

Usage with Transformers.js

onnx-community/
punctuate-all-ONNX