transformers pytorch safetensors marian text2text-generation translation fine_tune en zh license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
language:
- en
- zh
library_name: transformers
license: apache-2.0
tags:
- translation
- fine_tune
widget:
- text: 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.
---
# 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](https://github.com/O5-7/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
```python
>>> 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