Normal1919/mbart-large-50-one-to-many-lil-fine-tune

• base model: mbart-large-50
• pretrained_ckpt: facebook/mbart-large-50-one-to-many-mmt
• This model was trained for rpy dl translate

Model description

• source group: English
• target group: Chinese
• model: transformer
• source language(s): eng
• target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant
• fine_tune: On the basis of mbart-large-50-one-to-many-mmt checkpoints, train English original text with renpy text features (including but not limited to {i} [text] {/i}) to Chinese with the same reserved flag, as well as training for English name retention for LIL

How to use

>>> from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
>>> mode_name = 'Normal1919/mbart-large-50-one-to-many-lil-fine-tune'
>>> model = MBartForConditionalGeneration.from_pretrained(mode_name)
>>> tokenizer = MBart50TokenizerFast.from_pretrained(mode_name, src_lang="en_XX", tgt_lang="zh_CN")
>>> translation = pipeline("mbart-large-50-one-to-many-lil-fine-tune", model=model, tokenizer=tokenizer)
>>> translation('I {i} should {/i} say that I feel a little relieved to find out that {i}this {/i} is why you’ve been hanging out with Kaori lately, though. She’s really pretty and I got jealous and...I’m sorry', max_length=400)
    [{'我{i}应该{/i}说,我有点松了一口气,发现{i}这个{/i}是你最近和Kaori一起出去玩的原因。她真的很漂亮,我嫉妒了,而且......对不起。'}]

Contact

[email protected] or [email protected]