Update README.md

README.md

@@ -1,3 +1,46 @@
 ---
 license: mit
+language:
+- en
+- zh
+library_name: transformers
+tags:
+- translation
+- fine tune
+- 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/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](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 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
+```python
+>>> 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("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。'}]
+```
+
+## Contact
+
+517205163@qq.com or
+a4564563@gmail.com