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en_core_web_lg

spacy / en_core_web_lg

Run on huggingface.co
huggingface.co
Total runs: 1.1K
24-hour runs: -13
7-day runs: -32
30-day runs: 307
Model's Last Updated: November 21 2023
token-classification

Introduction of en_core_web_lg

Model Details of en_core_web_lg

Details: https://spacy.io/models/en#en_core_web_lg

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

Feature Description
Name en_core_web_lg
Version 3.7.1
spaCy >=3.7.2,<3.8.0
Default Pipeline tok2vec , tagger , parser , attribute_ruler , lemmatizer , ner
Components tok2vec , tagger , parser , senter , attribute_ruler , lemmatizer , ner
Vectors 514157 keys, 514157 unique vectors (300 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)
ClearNLP Constituent-to-Dependency Conversion (Emory University)
WordNet 3.0 (Princeton University)
Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl) (Explosion)
License MIT
Author Explosion
Label Scheme
View label scheme (113 labels for 3 components)
Component Labels
tagger $ , '' , , , -LRB- , -RRB- , . , : , ADD , AFX , CC , CD , DT , EX , FW , HYPH , IN , JJ , JJR , JJS , LS , MD , NFP , NN , NNP , NNPS , NNS , PDT , POS , PRP , PRP$ , RB , RBR , RBS , RP , SYM , TO , UH , VB , VBD , VBG , VBN , VBP , VBZ , WDT , WP , WP$ , WRB , XX , _SP , ````
parser ROOT , acl , acomp , advcl , advmod , agent , amod , appos , attr , aux , auxpass , case , cc , ccomp , compound , conj , csubj , csubjpass , dative , dep , det , dobj , expl , intj , mark , meta , neg , nmod , npadvmod , nsubj , nsubjpass , nummod , oprd , parataxis , pcomp , pobj , poss , preconj , predet , prep , prt , punct , quantmod , relcl , 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 99.86
TOKEN_P 99.57
TOKEN_R 99.58
TOKEN_F 99.57
TAG_ACC 97.35
SENTS_P 92.19
SENTS_R 89.27
SENTS_F 90.71
DEP_UAS 92.08
DEP_LAS 90.27
ENTS_P 85.16
ENTS_R 85.70
ENTS_F 85.43

Runs of spacy en_core_web_lg on huggingface.co

1.1K
Total runs
-13
24-hour runs
12
3-day runs
-32
7-day runs
307
30-day runs

More Information About en_core_web_lg huggingface.co Model

More en_core_web_lg license Visit here:

https://choosealicense.com/licenses/mit

en_core_web_lg huggingface.co

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

en_core_web_lg huggingface.co Url

https://huggingface.co/spacy/en_core_web_lg

spacy en_core_web_lg online free

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

spacy en_core_web_lg online free url in huggingface.co:

https://huggingface.co/spacy/en_core_web_lg

en_core_web_lg install

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

en_core_web_lg install url in huggingface.co:

https://huggingface.co/spacy/en_core_web_lg

Url of en_core_web_lg

en_core_web_lg huggingface.co Url

Provider of en_core_web_lg huggingface.co

spacy
ORGANIZATIONS
huggingface.co

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