intellidockers/translate repository overview

Supported target languages: afr (Afrikaans), amh (Amharic), ara (Arabic), ast (Asturian), aze (Azerbaijani), bak (Bashkir), bel (Belarusian), bul (Bulgarian), ben (Bengali), bre (Breton), bos (Bosnian), cat (Catalan), ceb (Cebuano), ces (Czech), cym (Welsh), dan (Danish), deu (German), ell (Greek), eng (English), esp (Spanish), est (Estonian), fas (Persian), ful (Fulah), fin (Finnish), fra (French), fry (Frisian), gaa (Ga), gla (Scottish Gaelic), glg (Galician), guj (Gujarati), haq (Hausa), heb (Hebrew), hin (Hindi), hrv (Croatian), hat (Haitian Creole), hun (Hungarian), hye (Armenian), ind (Indonesian), ibo (Igbo), ilo (Ilocano), isl (Icelandic), ita (Italian), jpn (Japanese), jav (Javanese), kat (Georgian), kaz (Kazakh), khm (Khmer), kan (Kannada), kor (Korean), ltz (Luxembourgish), lug (Luganda), lin (Lingala), lao (Lao), lit (Lithuanian), lav (Latvian), mlg (Malagasy), mkd (Macedonian), mal (Malayalam), mon (Mongolian), mar (Marathi), msa (Malay), mya (Burmese), nep (Nepali), nld (Dutch), nor (Norwegian), oci (Occitan), ori (Oriya), pan (Punjabi), pol (Polish), pus (Pashto), por (Portuguese), ron (Romanian), rus (Russian), snd (Sindhi), sin (Sinhala), slk (Slovak), slv (Slovenian), som (Somali), sqi (Albanian), srp (Serbian), ssw (Swati), sun (Sundanese), swe (Swedish), swa (Swahili), tam (Tamil), tha (Thai), tgl (Tagalog), tsn (Tswana), tur (Turkish), ukr (Ukrainian), urd (Urdu), uzb (Uzbek), vie (Vietnamese), wol (Wolof), xho (Xhosa), yid (Yiddish), yor (Yoruba), zho (Chinese), zul (Zulu)

Uses m2m_100 models from Facebook Research (https://github.com/pytorch/fairseq/tree/master/examples/m2m_100⁠).