Model: sentence-transformers/static-similarity-mrl-multilingual-v1
Author: sentence-transformers
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, onnx, safetensors, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:62698210, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, en, multilingual, ar, bg, ca, cs, da, de, el, es, et, fa, fi, fr, gl, gu, he, hi, hu, hy, id, it, ja, ka, ko, ku, lt, lv, mk, mn, mr, ms, my, nb, nl, pl, pt, ro, ru, sk, sl, sq, sr, sv, th, tr, uk, ur, vi, zh, hr, dataset:sentence-transformers/parallel-sentences-wikititles, dataset:sentence-transformers/parallel-sentences-tatoeba, dataset:sentence-transformers/parallel-sentences-talks, dataset:sentence-transformers/parallel-sentences-europarl, dataset:sentence-transformers/parallel-sentences-global-voices, dataset:sentence-transformers/parallel-sentences-muse, dataset:sentence-transformers/parallel-sentences-wikimatrix, dataset:sentence-transformers/parallel-sentences-opensubtitles, dataset:sentence-transformers/stackexchange-duplicates, dataset:sentence-transformers/quora-duplicates, dataset:sentence-transformers/wikianswers-duplicates, dataset:sentence-transformers/all-nli, dataset:sentence-transformers/simple-wiki, dataset:sentence-transformers/altlex, dataset:sentence-transformers/flickr30k-captions, dataset:sentence-transformers/coco-captions, dataset:sentence-transformers/nli-for-simcse, dataset:jinaai/negation-dataset, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, license:apache-2.0, co2_eq_emissions, endpoints_compatible, deploy:azure, region:us
Card metadata: language: en, multilingual, ar, bg, ca, cs, da, de, el, es, et, fa, fi, fr, gl, gu, he, hi, hu, hy, id, it, ja, ka, ko, ku, lt, lv, mk, mn, mr, ms, my, nb, nl, pl, pt, ro, ru, sk, sl, sq, sr, sv, th, tr, uk, ur, vi, zh, hr
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:62698210, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
widget: source_sentence: A man is jumping unto his filthy bed.
sentences: A man is ouside near the beach., The bed is dirty., The man is on the moon., source_sentence: Ship Simulator (video game)
sentences: ಯಂತ್ರ ಕಲಿಕೆ, Ship Simulator, جان بابتيست لويس بيير, source_sentence: And so was the title of his book on the Israeli massacre of Gaza in 2008-2009.
sentences: Antony Lowenstein ist ein bekannter Blogger über den Nahen Osten., Y ese fue el título de su libro sobre la masacre israelí de Gaza entre 2008 y 2009., C'était au temps où vous ne pouviez pas avoir un film de Nollywood qui n'incluait pas un ou une combinaison des aspects suivants: fraude, gris-gris/sorcellerie, vol à main armée, inceste, adultère, cannibalisme et, naturellement notre sujet favori, la corruption., source_sentence: In fact, it contributes more than 12 percent to Thailand’s GDP.
sentences: Einige Provider folgten der Anordnung, aber „Fitna“ konnte noch über andere Anbieter angesehen werden., En fait, il représente plus de 12% du produit national brut thaïlandais., "Aber von heute an...heute ist der Anfang eines neuen Lebens für mich.", source_sentence: It is known for its dry red chili powder .
sentences: These monsters will move in large groups ., It is popular for dry red chili powder ., In a statistical overview derived from writings by and about William George Aston , OCLC/WorldCat includes roughly 90 + works in 200 + publications in 4 languages and 3,000 + library holdings .
datasets: sentence-transformers/parallel-sentences-wikititles, sentence-transformers/parallel-sentences-tatoeba, sentence-transformers/parallel-sentences-talks, sentence-transformers/parallel-sentences-europarl, sentence-transformers/parallel-sentences-global-voices, sentence-transformers/parallel-sentences-muse, sentence-transformers/parallel-sentences-wikimatrix, sentence-transformers/parallel-sentences-opensubtitles, sentence-transformers/stackexchange-duplicates, sentence-transformers/quora-duplicates, sentence-transformers/wikianswers-duplicates, sentence-transformers/all-nli, sentence-transformers/simple-wiki, sentence-transformers/altlex, sentence-transformers/flickr30k-captions, sentence-transformers/coco-captions, sentence-transformers/nli-for-simcse, jinaai/negation-dataset
pipeline_tag: sentence-similarity
library_name: sentence-transformers
co2_eq_emissions: emissions: 196.7083299812303
energy_consumed: 0.5060646201491896
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 3.163
hardware_used: 1 x NVIDIA GeForce RTX 3090
Likes: 74 | All-time downloads: 6
Created: 2024-10-25 18:02:16