Create README.md

README.md

@@ -0,0 +1,33 @@
+---
+language: zh
+widget:
+- text: 用户：写一首歌，歌手“毛毛”，歌曲“多少年后”，以“谎言，伤痛，心爱，掩饰，退一步，寻找”为主题。\n小L：
+license: apache-2.0
+pipeline_tag: text2text-generation
+tags:
+- music
+- art
+---
+
+
+# Chinese T5
+
+## Model description
+
+Controllable lyrics creation generation model. Chinese lyrics can be generated based on the provided singer name, song name and several song theme keywords.
+
+
+
+The lyric creation robot is called “小L”. So at the end of the input question, you need to add "\\n小L："
+
+## How to use
+
+You can use this model directly with a pipeline for text2text generation:
+
+```python
+>>> from transformers import BertTokenizer, T5ForConditionalGeneration, Text2TextGenerationPipeline
+>>> tokenizer = BertTokenizer.from_pretrained("uer/t5-small-chinese-cluecorpussmall")
+>>> model = T5ForConditionalGeneration.from_pretrained("souljoy/t5-chinese-lyric")
+>>> text2text_generator = Text2TextGenerationPipeline(model, tokenizer)  
+>>> text2text_generator("用户：写一首歌，歌手“毛毛”，歌曲“多少年后”，以“谎言，伤痛，心爱，掩饰，退一步，寻找”为主题。\\n小L：", max_length=512, do_sample=False)
+```