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zh_core_web_sm

spacy / zh_core_web_sm

Run on huggingface.co
huggingface.co
Total runs: 370
24-hour runs: 0
7-day runs: 19
30-day runs: 277
Model's Last Updated: October 10 2023
token-classification

Introduction of zh_core_web_sm

Model Details of zh_core_web_sm

Details: https://spacy.io/models/zh#zh_core_web_sm

Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.

Feature Description
Name zh_core_web_sm
Version 3.7.0
spaCy >=3.7.0,<3.8.0
Default Pipeline tok2vec , tagger , parser , attribute_ruler , ner
Components tok2vec , tagger , parser , senter , attribute_ruler , ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources OntoNotes 5 (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)
CoreNLP Universal Dependencies Converter (Stanford NLP Group)
License MIT
Author Explosion
Label Scheme
View label scheme (100 labels for 3 components)
Component Labels
tagger AD , AS , BA , CC , CD , CS , DEC , DEG , DER , DEV , DT , ETC , FW , IJ , INF , JJ , LB , LC , M , MSP , NN , NR , NT , OD , ON , P , PN , PU , SB , SP , URL , VA , VC , VE , VV , X , _SP
parser ROOT , acl , advcl:loc , advmod , advmod:dvp , advmod:loc , advmod:rcomp , amod , amod:ordmod , appos , aux:asp , aux:ba , aux:modal , aux:prtmod , auxpass , case , cc , ccomp , compound:nn , compound:vc , conj , cop , dep , det , discourse , dobj , etc , mark , mark:clf , name , neg , nmod , nmod:assmod , nmod:poss , nmod:prep , nmod:range , nmod:tmod , nmod:topic , nsubj , nsubj:xsubj , nsubjpass , nummod , parataxis:prnmod , punct , xcomp
ner CARDINAL , DATE , EVENT , FAC , GPE , LANGUAGE , LAW , LOC , MONEY , NORP , ORDINAL , ORG , PERCENT , PERSON , PRODUCT , QUANTITY , TIME , WORK_OF_ART
Accuracy
Type Score
TOKEN_ACC 95.85
TOKEN_P 94.58
TOKEN_R 91.36
TOKEN_F 92.94
TAG_ACC 89.33
SENTS_P 77.85
SENTS_R 72.62
SENTS_F 75.14
DEP_UAS 69.60
DEP_LAS 64.08
ENTS_P 72.03
ENTS_R 64.93
ENTS_F 68.30

Runs of spacy zh_core_web_sm on huggingface.co

370
Total runs
0
24-hour runs
5
3-day runs
19
7-day runs
277
30-day runs

More Information About zh_core_web_sm huggingface.co Model

More zh_core_web_sm license Visit here:

https://choosealicense.com/licenses/mit

zh_core_web_sm huggingface.co

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

zh_core_web_sm huggingface.co Url

https://huggingface.co/spacy/zh_core_web_sm

spacy zh_core_web_sm online free

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

spacy zh_core_web_sm online free url in huggingface.co:

https://huggingface.co/spacy/zh_core_web_sm

zh_core_web_sm install

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

zh_core_web_sm install url in huggingface.co:

https://huggingface.co/spacy/zh_core_web_sm

Url of zh_core_web_sm

zh_core_web_sm huggingface.co Url

Provider of zh_core_web_sm huggingface.co

spacy
ORGANIZATIONS
huggingface.co

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