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ja_core_news_md

spacy / ja_core_news_md

Run on huggingface.co
huggingface.co
Total runs: 39
24-hour runs: 1
7-day runs: 7
30-day runs: 25
Model's Last Updated: October 10 2023
token-classification

Introduction of ja_core_news_md

Model Details of ja_core_news_md

Details: https://spacy.io/models/ja#ja_core_news_md

Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler.

Feature Description
Name ja_core_news_md
Version 3.7.0
spaCy >=3.7.0,<3.8.0
Default Pipeline tok2vec , morphologizer , parser , attribute_ruler , ner
Components tok2vec , morphologizer , parser , senter , attribute_ruler , ner
Vectors 480443 keys, 20000 unique vectors (300 dimensions)
Sources UD Japanese GSD v2.8 (Omura, Mai; Miyao, Yusuke; Kanayama, Hiroshi; Matsuda, Hiroshi; Wakasa, Aya; Yamashita, Kayo; Asahara, Masayuki; Tanaka, Takaaki; Murawaki, Yugo; Matsumoto, Yuji; Mori, Shinsuke; Uematsu, Sumire; McDonald, Ryan; Nivre, Joakim; Zeman, Daniel)
UD Japanese GSD v2.8 NER (Megagon Labs Tokyo)
chiVe: Japanese Word Embedding with Sudachi & NWJC (chive-1.1-mc90-500k) (Works Applications)
License CC BY-SA 4.0
Author Explosion
Label Scheme
View label scheme (65 labels for 3 components)
Component Labels
morphologizer POS=NOUN , POS=ADP , POS=VERB , POS=SCONJ , POS=AUX , POS=PUNCT , POS=PART , POS=DET , POS=NUM , POS=ADV , POS=PRON , POS=ADJ , POS=PROPN , POS=CCONJ , POS=SYM , POS=NOUN|Polarity=Neg , POS=AUX|Polarity=Neg , POS=SPACE , POS=INTJ , POS=SCONJ|Polarity=Neg
parser ROOT , acl , advcl , advmod , amod , aux , case , cc , ccomp , compound , cop , csubj , dep , det , dislocated , fixed , mark , nmod , nsubj , nummod , obj , obl , punct
ner CARDINAL , DATE , EVENT , FAC , GPE , LANGUAGE , LAW , LOC , MONEY , MOVEMENT , NORP , ORDINAL , ORG , PERCENT , PERSON , PET_NAME , PHONE , PRODUCT , QUANTITY , TIME , TITLE_AFFIX , WORK_OF_ART
Accuracy
Type Score
TOKEN_ACC 99.37
TOKEN_P 97.64
TOKEN_R 97.88
TOKEN_F 97.76
POS_ACC 97.12
MORPH_ACC 0.00
MORPH_MICRO_P 34.01
MORPH_MICRO_R 98.04
MORPH_MICRO_F 50.51
SENTS_P 96.30
SENTS_R 97.63
SENTS_F 96.96
DEP_UAS 92.21
DEP_LAS 90.92
TAG_ACC 97.13
LEMMA_ACC 96.70
ENTS_P 72.67
ENTS_R 67.55
ENTS_F 70.01

Runs of spacy ja_core_news_md on huggingface.co

39
Total runs
1
24-hour runs
1
3-day runs
7
7-day runs
25
30-day runs

More Information About ja_core_news_md huggingface.co Model

More ja_core_news_md license Visit here:

https://choosealicense.com/licenses/cc-by-sa-4.0

ja_core_news_md huggingface.co

ja_core_news_md huggingface.co is an AI model on huggingface.co that provides ja_core_news_md's model effect (), which can be used instantly with this spacy ja_core_news_md model. huggingface.co supports a free trial of the ja_core_news_md model, and also provides paid use of the ja_core_news_md. Support call ja_core_news_md model through api, including Node.js, Python, http.

ja_core_news_md huggingface.co Url

https://huggingface.co/spacy/ja_core_news_md

spacy ja_core_news_md online free

ja_core_news_md huggingface.co is an online trial and call api platform, which integrates ja_core_news_md's modeling effects, including api services, and provides a free online trial of ja_core_news_md, you can try ja_core_news_md online for free by clicking the link below.

spacy ja_core_news_md online free url in huggingface.co:

https://huggingface.co/spacy/ja_core_news_md

ja_core_news_md install

ja_core_news_md is an open source model from GitHub that offers a free installation service, and any user can find ja_core_news_md on GitHub to install. At the same time, huggingface.co provides the effect of ja_core_news_md install, users can directly use ja_core_news_md installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ja_core_news_md install url in huggingface.co:

https://huggingface.co/spacy/ja_core_news_md

Url of ja_core_news_md

ja_core_news_md huggingface.co Url

Provider of ja_core_news_md huggingface.co

spacy
ORGANIZATIONS
huggingface.co

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