[update]add main
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main.py
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M2M100 is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation.
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It was introduced in this [paper](https://arxiv.org/abs/2010.11125) and first released in [this](https://github.com/pytorch/fairseq/tree/master/examples/m2m_100) repository.
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Afrikaans (af), Amharic (am), Arabic (ar), Asturian (ast), Azerbaijani (az),
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Bashkir (ba), Belarusian (be), Bulgarian (bg), Bengali (bn), Breton (br), Bosnian (bs),
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Catalan; Valencian (ca), Cebuano (ceb), Czech (cs), Welsh (cy), Danish (da), German (de), Greeek (el),
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English (en), Spanish (es), Estonian (et), Persian (fa), Fulah (ff), Finnish (fi), French (fr),
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Western Frisian (fy), Irish (ga), Gaelic; Scottish Gaelic (gd), Galician (gl), Gujarati (gu),
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Hausa (ha), Hebrew (he), Hindi (hi), Croatian (hr), Haitian; Haitian Creole (ht), Hungarian (hu), Armenian (hy),
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Indonesian (id), Igbo (ig), Iloko (ilo), Icelandic (is), Italian (it),
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Japanese (ja), Javanese (jv), Georgian (ka), Kazakh (kk), Central Khmer (km),
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Kannada (kn), Korean (ko), Luxembourgish; Letzeburgesch (lb), Ganda (lg),
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Lingala (ln), Lao (lo), Lithuanian (lt), Latvian (lv),
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Malagasy (mg), Macedonian (mk), Malayalam (ml), Mongolian (mn), Marathi (mr), Malay (ms),
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Burmese (my), Nepali (ne), Dutch; Flemish (nl), Norwegian (no), Northern Sotho (ns),
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Occitan (post 1500) (oc), Oriya (or), Panjabi; Punjabi (pa), Polish (pl), Pushto; Pashto (ps), Portuguese (pt),
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Romanian; Moldavian; Moldovan (ro), Russian (ru),
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Sindhi (sd), Sinhala; Sinhalese (si), Slovak (sk), Slovenian (sl), Somali (so),
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Albanian (sq), Serbian (sr), Swati (ss), Sundanese (su), Swedish (sv), Swahili (sw),
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Tamil (ta), Thai (th), Tagalog (tl), Tswana (tn), Turkish (tr),
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Ukrainian (uk), Urdu (ur), Uzbek (uz), Vietnamese (vi), Wolof (wo), Xhosa (xh),
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Yiddish (yi), Yoruba (yo), Chinese (zh), Zulu (zu)
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"""
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examples = [
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M2M100 is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation.
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It was introduced in this [paper](https://arxiv.org/abs/2010.11125) and first released in [this](https://github.com/pytorch/fairseq/tree/master/examples/m2m_100) repository.
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[Languages covered](https://huggingface.co/facebook/m2m100_418M#languages-covered)
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"""
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examples = [
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