Details: https://spacy.io/models/zh#zh_core_web_trf
Checksum .tar.gz:
e09bb2fe90c7ba2771d46560ba9900b334cced05d9b4a8d5528af4cd5c431c9d
Checksum .whl:53739a14be4b19f6522ec36cf77a3b51dcc21b3e9201af3ad47974c334e797e2
Chinese transformer pipeline (bert-base-chinese). Components: transformer, tagger, parser, ner, attribute_ruler.
| Feature | Description |
|---|---|
| Name | zh_core_web_trf
|
| Version | 3.0.0
|
| spaCy | >=3.0.0,<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
| 92.52 |
DEP_UAS
| 76.74 |
DEP_LAS
| 73.00 |
ENTS_P
| 75.09 |
ENTS_R
| 75.66 |
ENTS_F
| 75.37 |
SENTS_P
| 69.66 |
SENTS_R
| 64.06 |
SENTS_F
| 66.74 |
Installation
pip install spacy
python -m spacy download zh_core_web_trf