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MohaAM/en_pipeline
en_pipeline is a token classification model from MohaAM. Use it when you need labels on individual words, such as names. It is set up for spacy.
Downloads · 30 days
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From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.1.0,<3.2.0 |
| Default Pipeline | tok2vec, tagger, parser, ner, attribute_ruler, lemmatizer |
| Components | tok2vec, tagger, parser, ner, attribute_ruler, lemmatizer |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
| 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, ```` |
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 | ARC, AST, BOOK, CAUSAL, COMPARISON, DATE, HEM, HOUR, HYPO, INSTRUMENT, JUDGEMENT, LAWS, MODEL, NAME, Observation, PAR, PLACE, QUANTITY, REASON, ZOD |
| Type | Score |
|---|---|
TAG_ACC | 0.00 |
DEP_UAS | 0.00 |
DEP_LAS | 0.00 |
DEP_LAS_PER_TYPE | 0.00 |
SENTS_P | 100.00 |
SENTS_R | 100.00 |
SENTS_F | 100.00 |
ENTS_F | 99.32 |
ENTS_P | 99.47 |
ENTS_R | 99.17 |
LEMMA_ACC | 0.00 |
NER_LOSS | 7790.09 |