explosion/spacy-models xx_sent_ud

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Details: https://spacy.io/models/xx#xx_sent_ud_sm

Multi-language pipeline optimized for CPU. Components: senter.

Feature	Description
Name	`xx_sent_ud_sm`
Version	`3.3.0`
spaCy	`>=3.3.0.dev0,<3.4.0`
Default Pipeline	`senter`, `attribute_ruler`
Components	`senter`, `attribute_ruler`
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	Universal Dependencies v2.8 (UD_Afrikaans-AfriBooms, UD_Croatian-SET, UD_Czech-CAC, UD_Czech-CLTT, UD_Danish-DDT, UD_Dutch-Alpino, UD_Dutch-LassySmall, UD_English-EWT, UD_Finnish-FTB, UD_Finnish-TDT, UD_French-GSD, UD_French-Spoken, UD_German-GSD, UD_Indonesian-GSD, UD_Irish-IDT, UD_Italian-TWITTIRO, UD_Korean-GSD, UD_Korean-Kaist, UD_Latvian-LVTB, UD_Lithuanian-ALKSNIS, UD_Lithuanian-HSE, UD_Marathi-UFAL, UD_Norwegian-Bokmaal, UD_Norwegian-Nynorsk, UD_Norwegian-NynorskLIA, UD_Persian-Seraji, UD_Portuguese-Bosque, UD_Portuguese-GSD, UD_Romanian-Nonstandard, UD_Romanian-RRT, UD_Russian-GSD, UD_Russian-Taiga, UD_Serbian-SET, UD_Slovak-SNK, UD_Spanish-GSD, UD_Swedish-Talbanken, UD_Telugu-MTG, UD_Vietnamese-VTB) (Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell; et al.)
License	`CC BY-SA 3.0`
Author	Explosion
Model size	4 MB

Label Scheme

Accuracy

Type	Score
`TOKEN_ACC`	99.29
`TOKEN_P`	95.31
`TOKEN_R`	95.72
`TOKEN_F`	95.52
`SENTS_P`	90.62
`SENTS_R`	81.62
`SENTS_F`	85.88

Installation

pip install spacy
python -m spacy download xx_sent_ud_sm

explosion/spacy-models xx_sent_ud_sm-3.3.0 on GitHub

Details: https://spacy.io/models/xx#xx_sent_ud_sm

Label Scheme

Accuracy

Installation

explosion/spacy-models xx_sent_ud_sm-3.3.0
on GitHub