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README.md ADDED
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+ ---
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+ language: multilingual
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+ tags:
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+ - mbart-50
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+ ---
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+
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+ # mBART-50 many to one multilingual machine translation
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+
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+
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+ This model is a fine-tuned checkpoint of [mBART-large-50](https://huggingface.co/facebook/mbart-large-50). `mbart-large-50-many-to-many-mmt` is fine-tuned for multilingual machine translation. It was introduced in [Multilingual Translation with Extensible Multilingual Pretraining and Finetuning](https://arxiv.org/abs/2008.00401) paper.
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+ The model can translate directly between any pair of 50 languages.
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+
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+
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+ ```python
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+ from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
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+
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+ article_hi = "संयुक्त राष्ट्र के प्रमुख का कहना है कि सीरिया में कोई सैन्य समाधान नहीं है"
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+ article_ar = "الأمين العام للأمم المتحدة يقول إنه لا يوجد حل عسكري في سوريا."
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+
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+ model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-many-to-one-mmt")
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+ tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-many-to-one-mmt")
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+
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+ # translate Hindi to English
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+ tokenizer.src_lang = "hi_IN"
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+ encoded_hi = tokenizer(article_hi, return_tensors="pt")
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+ generated_tokens = model.generate(**encoded_hi)
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+ tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
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+ # => "The head of the UN says there is no military solution in Syria."
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+
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+ # translate Arabic to English
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+ tokenizer.src_lang = "ar_AR"
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+ encoded_ar = tokenizer(article_ar, return_tensors="pt")
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+ generated_tokens = model.generate(**encoded_ar)
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+ tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
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+ # => "The Secretary-General of the United Nations says there is no military solution in Syria."
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+ ```
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+
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+
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+ See the [model hub](https://huggingface.co/models?filter=mbart-50) to look for more fine-tuned versions.
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+
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+
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+ ## Languages covered
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+ Arabic (ar_AR), Czech (cs_CZ), German (de_DE), English (en_XX), Spanish (es_XX), Estonian (et_EE), Finnish (fi_FI), French (fr_XX), Gujarati (gu_IN), Hindi (hi_IN), Italian (it_IT), Japanese (ja_XX), Kazakh (kk_KZ), Korean (ko_KR), Lithuanian (lt_LT), Latvian (lv_LV), Burmese (my_MM), Nepali (ne_NP), Dutch (nl_XX), Romanian (ro_RO), Russian (ru_RU), Sinhala (si_LK), Turkish (tr_TR), Vietnamese (vi_VN), Chinese (zh_CN), Afrikaans (af_ZA), Azerbaijani (az_AZ), Bengali (bn_IN), Persian (fa_IR), Hebrew (he_IL), Croatian (hr_HR), Indonesian (id_ID), Georgian (ka_GE), Khmer (km_KH), Macedonian (mk_MK), Malayalam (ml_IN), Mongolian (mn_MN), Marathi (mr_IN), Polish (pl_PL), Pashto (ps_AF), Portuguese (pt_XX), Swedish (sv_SE), Swahili (sw_KE), Tamil (ta_IN), Telugu (te_IN), Thai (th_TH), Tagalog (tl_XX), Ukrainian (uk_UA), Urdu (ur_PK), Xhosa (xh_ZA), Galician (gl_ES), Slovene (sl_SI)
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+
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+
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+ ## BibTeX entry and citation info
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+ ```
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+ @article{tang2020multilingual,
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+ title={Multilingual Translation with Extensible Multilingual Pretraining and Finetuning},
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+ author={Yuqing Tang and Chau Tran and Xian Li and Peng-Jen Chen and Naman Goyal and Vishrav Chaudhary and Jiatao Gu and Angela Fan},
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+ year={2020},
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+ eprint={2008.00401},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```
config.json ADDED
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+ "transformers_version": "4.6.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 250054
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+ }
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special_tokens_map.json ADDED
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+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>", "additional_special_tokens": ["ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI", "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "kk_KZ", "ko_KR", "lt_LT", "lv_LV", "my_MM", "ne_NP", "nl_XX", "ro_RO", "ru_RU", "si_LK", "tr_TR", "vi_VN", "zh_CN", "af_ZA", "az_AZ", "bn_IN", "fa_IR", "he_IL", "hr_HR", "id_ID", "ka_GE", "km_KH", "mk_MK", "ml_IN", "mn_MN", "mr_IN", "pl_PL", "ps_AF", "pt_XX", "sv_SE", "sw_KE", "ta_IN", "te_IN", "th_TH", "tl_XX", "uk_UA", "ur_PK", "xh_ZA", "gl_ES", "sl_SI"]}
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