sentence-transformers How to use Mosofriends/paraphrase-multilingual-korean-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Mosofriends/paraphrase-multilingual-korean-finetuned")
sentences = [
"& aque.\n\n \n\n4 spazHe oO] Wao. Ad Aa AS Bary at Ado &\nazjar AZo] ALS Ao] Sepepy) AA) Azhe ASEAIAWE...”\nFa ASAD VSURBWAAVEAA AOS AA). F215 0] 9} 20] DW\n\nalelo) AAS weedy seyre Agee -Ay lao Ae aad\n\n \n\n \n\nAMAT. o]e4YSt ulSS Wyo} lop Balzyel Apeeley o}o gayAay 7\n\ny &\nA7\\zHel OPA Aso) Sept ol WBA Ay] lS MoS ae\n\nAe MAES ol WAAA MBS AABS spas cleo] Ba\n3} BAIAS SABA] ASs} GS ASe aa dey. aA\nsayz AAAS Ia AS gow adi\n\n=\nAoyypsD.. FIA WuIs Feor GAA dojus Ws wwery\n\n \n\n \n\nHs) AnoA +4) GRE S Desa Wed. sz) 2 YA",
"SMe SB4s AA SA slerqok S AMY AA 2017. 1. 25.\n\nS}A]U B Apo} lo} SOV gaze] ASS SSE ups}go}\nHea Ie mast + US AES sale] dst sa Bae\nSAZ UIs AS] AYIo) Bola B Zojm, 3 yo] Ge\nSAS L384 BAIs BSA H49] YS4RZ AE ¥\n\nU4. Baltes] 22ztBa SHAS 1S AVS] Vat S AMT.\n\n@) BA B SAA Oe $319] JAA SAE malrps] aeel\nFVqUF. 2B waits] ASs $49] SAB rw] MANE I a\n20] Eels} AYYA| 7lso] Sao] Bae Aas Ys = WE\nAALS] AABN WW BYU YRS mA = olok F AVIA",
"<ul § 6 . a | | Oe op eS op\nxz jo} x ojo —| XK ~<A zx DY NI\nzo YH Tr) ® m4 oft ie A <x ¥ “ote m = ®e\n1 = | 2 o + oJ 7 |\nfeu Se PSF se we eeeegee Fs\nVos] s| & xi =F & tae k ag @ » . a\nrosy op es — > ® a NR) | FB = x F is o om\n. —s| old KR Um RR ® xX| x) 3} mp F ay ty NE S\n* TA] OX x lu} Se or X ez jo i BD mo\ner Tae Sots ee FR\n= = 4 9) = x RX —_ 4\n2S yy se HR ao Ae Sy Vo ® a,\neng 2 5 = sl ge a) RS op 3 - &\nye e th yo TT t Oo) fo oF Ky nN ‘oa\nzo mH & eo © as rl yw we A ©",
"Hs) AnoA +4) GRE S Desa Wed. sz) 2 YA\n\nAAS Bare] AAS Seyret. ASSAY] Ao} o] Bsx- B\n\naso Rad = Fe] Ss] Gow zz) sta\n\n27) SStth.. #°) F SAE GER.\" AW ASID VSuUAE\n\n2” AOe F4), SF BAAR Barelo] AIS See} 72] FE 4\naL\n\nUs Me Mblass ase aad.\n\n \n\n \n\n \n\n]\n\na °\nwh Mm\n\nrr\nrr\nZl] A]\n\n22 Ap 71 HOH\nJE wy\n\nCc\n=z,\n\n& ah\ngow Ae] Vous\n\na\n\nAAS AO 2H), °] 8Voll\n\nSr Fle UA 4\n\nga WAS\n\ngata sels gay zhlel\n\nEAA,\n\n|\n\nz\nct\n\n \n\n1\n\n70\n\nH At\n\nOo\n\nZe ve o] Wey a\n\nw UMA. Asoe wy\n\n|\n\nE\nUL\n\niH\n\noO\nma»"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
