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。'}]
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Contact
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