Details: https://nightly.spacy.io/models/zh#zh_core_web_trf
File checksum:
b403260c656d463dc2d9d90ea5e44e0cc6de33c09030bf8c9a6432e6bdacbc56
Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagger, parser, ner, attribute_ruler.
Feature | Description |
---|---|
Name | zh_core_web_trf
|
Version | 3.0.0a1
|
spaCy | >=3.0.0rc3,<3.1.0
|
Model size | 398 MB |
Default Pipeline | transformer , tagger , parser , ner , attribute_ruler
|
Components | transformer , tagger , parser , ner , attribute_ruler
|
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | OntoNotes 5 |
License | MIT
|
Author | Explosion |
Label Scheme
View label scheme (99 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
|
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
| 97.88 |
TAG_ACC
| 92.45 |
DEP_UAS
| 76.61 |
DEP_LAS
| 72.85 |
ENTS_P
| 75.29 |
ENTS_R
| 75.53 |
ENTS_F
| 75.41 |
SENTS_P
| 69.32 |
SENTS_R
| 61.91 |
SENTS_F
| 65.41 |
Installation
pip install spacy-nightly --pre
python -m spacy download zh_core_web_trf