Details: https://nightly.spacy.io/models/zh#zh_core_web_trf
File checksum:
d779c45e1b6bc6d2d039c2db5fc4c61fd1e715d5bed3161a3a0827788b1267b1
Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagger, parser, ner, attribute_ruler.
| Feature | Description |
|---|---|
| Name | zh_core_web_trf
|
| Version | 3.0.0a0
|
| spaCy | >=3.0.0a40,<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 |
|---|---|
TOK
| 97.88 |
TAG
| 92.48 |
POS
| 0.00 |
MORPH
| 0.00 |
UAS
| 77.18 |
LAS
| 73.36 |
NER_P
| 75.37 |
NER_R
| 75.78 |
NER_F
| 75.58 |
SENT_P
| 67.50 |
SENT_R
| 67.65 |
SENT_F
| 67.58 |
Installation
pip install spacy-nightly --pre
python -m spacy download zh_core_web_trf