This is a sentence-transformers model finetuned from BAAI/bge-m3. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for retrieval.
1from sentence_transformers import SentenceTransformer
23# Download from the 🤗 Hub4model = SentenceTransformer("matt-wisdom/KEmbed-naija-v3")5# Run inference6sentences =[7'Nigeria Elections 2019: Ezekwesili ti jẹ́ mínísítà ní Nàìjíríà lẹ́ẹ̀ mejì ọ̀tọ̀ọ̀tọ̀',8"Ezekwesili ti fi ìgbà kan jẹ́ igbakeji ààrẹ Banki Agbaye éka ilẹ̀ Afrika\n\nIlumọọka ni Ọmọwe Ezekwesili, ẹni ti o ti di oniruuru ipo mu ni Naijiria ati agbaye . \n\nYatọ si pe o jẹ ọkan pataki lara oludasilẹ ẹgbẹ ajafẹtọ ọmọniyan #BBOG to n ja fun ominira awọn ọmọbinrin to wa ni ahamọ ikọ Boko Haram, Ezekwesili jẹ ọkan lara awọn ọmọ Naijiria to n fi ojoojumọ ke tantan lori eto iṣakoso orilẹede naa.\n\nIpinlẹ Anambra la ti bi Oby, ni ọjọ́ kejidinlọgbọn, osu igbe ọdun 1963. O si kẹkọọ gboye gẹgẹ bi akọṣẹmọṣẹ iṣiro owo.\n\nIgba meji ọtoọtọ lo ti ṣe minista ni Naijiria, to si tun ti figba kan jẹ igbakeji aarẹ Banki agbaye, ẹka ilẹ adulawọ. \n\nỌ̀kan lára olùdásílẹ̀ ẹgbẹ́ #BBOG ni Oby Ezekwesili\n\nMinisita Ohun Alumọni láàrin ọdun 2005 si 2006\n\nNi ọdun 2005 ni Aarẹ Olusegun Obasanjo yan Ọmoọwe Ezekwesili gẹgẹ bi minisita ohun alumọni inu ilẹ, lẹyin to ti jẹ adari ẹka to n ri si amojuto eto isuna , nibi to ti gba inagijẹ 'Mama Due Process'.\n\nGẹgẹ bi minisita ohun alumọni, o ṣe agbatẹru abadofin to ni ṣe pẹlu alumọni ati iwakusa 'Minerals and Mining Act', idasilẹ ileeṣe iwakusa orilẹede Naijiria, o si tun rii daju pe ẹka naa rọrun lati wọ fun awọn aladaani.\n\nMinisita Eto Ẹkọláàrin ọdun 2006 si 2007\n\nIpo minista ohun alumọni inu ilẹ, ni ọmọwe Ezekwesili wa, ti aarẹ nigba naa, Oloye Obasanjo tun ti sọ ọ di minista eto ẹkọ labẹ iṣakoso rẹ̀. \n\nGẹgẹ bi minisita eto ẹkọ, Ezekwesili ṣe atunto ẹka etò ẹkọ orilẹede Naijiria. Oun lo tun ṣe agbatẹru ibaṣepọ laarin ijọba ati aladaani fun eto ẹkọ to yanranti.\n\nEzekwesili ti fi ìgbà kan jẹ́ igbakeji ààrẹ Banki Agbaye éka ilẹ̀ Afrika\n\nIgbakeji-aarẹ Banki Agbaye laarin 2007 si 2012\n\nNi ọdun 2007 ni arabinrin Ezekwesili di igbakeji aarẹ Banki agbaye, ni kete to fi ipo minisita eto ẹkọ silẹ ni Naijiria, ipo to dimu di ọdun 2012.\n\nGẹgẹ bi igbakeji-aarẹ Banki agbaye ẹka ilẹ Adulawọ yii, oun lo jẹ alamojuto gbogbo ohun to n lọ kaakiri awọn orilẹede mejidinlaadọta to wa ni 'Sub Saharan Afirika', o si tun jẹ adari owoyaa to le ni ogoji biliọnu dọla. \n\nEzekwesili sọ pé àsìkò ti tó láti gba agbára lọ́wọ́ ẹgbẹ́ òṣèlú PDP àti APC\n\nAbẹ ẹgbẹ oṣelu ACPN ni o ti n dije sipo aarẹ orilẹede Naijiria\n\nỌmọwe Ezekwesili kede ipinnu rẹ lati dupo aarẹ orilẹede Niajiria ninu ọdun 2018 pẹlu alaye pe awọn ẹgbẹ oṣelu mejeeji to ti ṣe ijọba ri jẹ ọbayejẹ, ti ko si yẹ ki wọn wa ni ijọba mọ lorilẹede eyi.\n\nỌgbẹni Ganiyu Galadima ni wọn yoo jọ maa dije gẹgẹ bi igbakeji. \n\n#BBCNigeria2019",9'Cheta na akụkọ si n\'aka ndị uweojii kwuru na opekatampe mmadụ anọ anwụyụọla anya ebe ọtụtụ merụrụ ahụ,\n\nn\'ọgụ dapụtara n\'etiti otu nzuzo abụọ n\'ụlọ akwụkwọ \'Federal Polytechnic\' Nekede dị n\'Imo Steeti.\n\nN\'ihi ọgụ na ọgbaghara a, ụmụ akwụkwọ na ndị nkụzi ụlọakwụkwọ ahụ nọzi n\'egwu na ihe ize ndụ ugbu a.\n\nOtu nwata akwụkwọ bụ Frank hụrụ ka ihe si mee gwara BBC Igbo na nkpamkpa ọjọ a malitere n\'izuụka gara aga n\'etiti otu nzuzo abụọ bụ \'Aye\' na \'Bagger\'.Frank kwuru na o bidoro mgbe ahụtara ozu nwata akwụkwọ a, bụkwa onye na-edozi isi n\'ihu ụlọ akwụkwọ ahụ. \n\nNke a kpatara ogbugbu e gburu nwata akwụkwọ ọzọ na-agụ ihe ọmụmụ \'Public Administration\' n\'ogbe ebe akpọrọ South Africa.N\'okwu ya "Nke a mere ha jiri bido gbuwe mmadụ aghara aghara. Ka ọ dị ugbu a, eji m n\'aka na ihe karịrị mmadụ anọ anwụọla, mana ejiri m anya m hụ ozu mmadụ anọ".\n\nỌnụ na-ekwuru ndị uweojii n\'Imo Steeti bụ Orlando Ikeokwu gwara BBC Igbo na ọ bụ eziokwu na mmadụ anọ anwụọla.\n\nO kwuru na ndị uweojii ejidela mmadụ iri ma nata ha egbe ruru ise dịka ha ka na-eme nyocha iji chọpụta otu nzuzo na-akpa arụ a.\n\nAkụkọ ndị ga-amasị gị:',10]11embeddings = model.encode(sentences)12print(embeddings.shape)13# [3, 1024]1415# Get the similarity scores for the embeddings16similarities = model.similarity(embeddings, embeddings)17print(similarities)18# tensor([[1.0000, 0.6367, 0.3613],19# [0.6367, 1.0078, 0.4258],20# [0.3613, 0.4258, 0.9961]], dtype=torch.bfloat16)
Approximate statistics based on the first 1000 samples:
anchor
positive
type
string
string
details
min: 7 tokens
mean: 24.11 tokens
max: 81 tokens
min: 13 tokens
mean: 225.08 tokens
max: 256 tokens
Samples:
anchor
positive
Where is Cosmas Maduka from?
Maduka, an Igbo Christian from Nnewi, Anambra State was born into the family of Mr. Peter and Mrs. Rose Maduka in the City of Jos. Maduka began his entrepreneurial journey at the age of six, two years after his father died. He dropped out of primary school and started hawking Akara, a popular Nigerian food staple made from beans to support his mother.
Emma Coronel Aispuro: Matar hamshakin mai safarar miyagun kwayoyi ta yi faduwar bakar tasa
Emma Coronel Aispuro
Tagogin gidan yarin, Cibiyar Tsare Manya a Alexandria, an yanka su ne ta cikin ginin jan bulo, kuma a nan ne inda ake tsare da Emma Coronel Aispuro ita kadai a wani tsukakken daki.
A cikin dakin, in ji lauyar ta Mariel Colón Miro, tana karanta litattafan kagaggun labarai, don debe kewa.
Yanayin gidan yarin na da matukar banbanci da irin rayuwar da ta saba yi a da.
Watanni kadan da suka gabata, ta yi aniyar kaddamar da wani kamfanin zayyana tufafin kawa da ake kira El Chapo Guzman. (Ma'auratan na da wata alama da ken una matsayinsu a kasar Mexico, kana ita ma 'yar su ta yi fice a fannin ado da kayan kawa ta hanyar amfani da sunan shi.
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Nke a sotere nzụkọ mberede pụrụiche nke ụlọomeiwu abụọ ahụ mere n'ime ụlọ.
Naịjirịa
Buhari na ndị ọchịagha mere ọgbakọ taa
Onyeisiala Muhammadu Buhari na ndị ọchị agha niile na Naịjirịa nwere ọgbakọ taa ebe ha kpara etu nchekwa ala Naịjirịa dị ugbua.
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Ebe ọzọ na Naịjirịa
Naịjirịa dị nkwadebe ịnabata ndị ọbịa.
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Akụkọ mba ofesi
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Agụiyi adọgbuola ụkọchukwu na-eme ndị ụka ya mmirichukwu n'akụkụ ezu na mba Etiopịa.
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1@inproceedings{reimers-2019-sentence-bert,
2 title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
3 author = "Reimers, Nils and Gurevych, Iryna",
4 booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
5 month = "11",
6 year = "2019",
7 publisher = "Association for Computational Linguistics",
8 url = "https://arxiv.org/abs/1908.10084",
9}
MatryoshkaLoss
bibtex
1@misc{kusupati2024matryoshka,
2 title={Matryoshka Representation Learning},
3 author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},
4 year={2024},
5 eprint={2205.13147},
6 archivePrefix={arXiv},
7 primaryClass={cs.LG}
8}
MultipleNegativesRankingLoss
bibtex
1@misc{oord2019representationlearningcontrastivepredictive,
2 title={Representation Learning with Contrastive Predictive Coding},
3 author={Aaron van den Oord and Yazhe Li and Oriol Vinyals},
4 year={2019},
5 eprint={1807.03748},
6 archivePrefix={arXiv},
7 primaryClass={cs.LG},
8 url={https://arxiv.org/abs/1807.03748},
9}
