Task
Token Classification
P
kredor/punctuate-all
Token Classification·kredor· 521.4K· 28
transformers
mit
dataset:wmt/europarllicense:mitdeploy:azureregion:us
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.
# pull & run locally
pip install mlforge-sdk && mlforge pull kredor/punctuate-all
pip install mlforge-sdk && mlforge pull kredor/punctuate-all
Model details
Provider
kredor
Framework
transformers
Size
2.1 GB
License
mit
Downloads
521.4K
Likes
28
Updated
2024-04-26
About kredor/punctuate-all
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.
Related Token Classification
I
w11wo/indonesian-roberta-base-posp-tagger
2.8M 10
🤗 HF
B
dslim/bert-base-NER
1.8M 718
🤗 HF
S
StanfordAIMI/stanford-deidentifier-base
1.3M 81
🤗 HF
W
Babelscape/wikineural-multilingual-ner
889.1K 165
🤗 HF
F
oliverguhr/fullstop-punctuation-multilang-large
648.8K 178
🤗 HF
X
Davlan/xlm-roberta-large-ner-hrl
639.9K 15
🤗 HF