Normal1919/Marian-NMT-en-zh-lil-fine-tune

• base model: MarianMTModel
• pretrained_ckpt: Helsinki-NLP/opus-mt-en-zh
• 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 OPUS dataset 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 AutoModelWithLMHead,AutoTokenizer,pipeline
>>> mode_name = 'Normal1919/Marian-NMT-en-zh-lil-fine-tune'
>>> model = AutoModelWithLMHead.from_pretrained(mode_name)
>>> tokenizer = AutoTokenizer.from_pretrained(mode_name)
>>> translation = pipeline("Marian-NMT-en-zh-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}说发现{i}这{/i}是你最近和Kaori出去的原因,我有点松了一口气。她很漂亮,我嫉妒,而且......我很抱歉。'}]

Download

• 链接：https://pan.baidu.com/s/1xGBzP2Grbg0BsuFSC1LXEQ
• 提取码：prz3

Contact

517205163@qq.com or a4564563@gmail.com