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Update README.md

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@@ -6,6 +6,27 @@ metrics:
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  - accuracy
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  pipeline_tag: text-generation
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  import transformers
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  import torch
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@@ -17,4 +38,6 @@ pipeline = transformers.pipeline(
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  pipeline("川普和拜登谁能赢得大选??")
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- >> [{'generated_text': '川普和拜登谁能赢得大选?](https://www.voachinese.com'}]
 
 
 
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  - accuracy
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  pipeline_tag: text-generation
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  ---
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+
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+ >> It's not a chat model, just using Wizard-LM-Chinese-instruct-evol datesets training with several steps for test the model typical Chinese skill, this is version1, will release version2 for more long context windows and Chat model
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+ ____________________________
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+ Train scenario:
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+ 2k context
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+ datasets:Wizard-LM-Chinese-instruct-evol
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+ batchsize:8
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+ steps:500
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+ epchos:2
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+ ____________________________________________________
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+ How to use?
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+
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+ Follow common huggingface-api is enough or using other framework like VLLM, support continue training.
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+ ____________________________________________________
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+
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  import transformers
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  import torch
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  pipeline("川普和拜登谁能赢得大选??")
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+ >> [{'generated_text': '川普和拜登谁能赢得大选?](https://www.voachinese.com'}]
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+
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+ Wechat:18618377979, Gmail:zhouboyang1983@gmail.com