Update README.md

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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Train scenario:

2k context

datasets:Wizard-LM-Chinese-instruct-evol

batchsize:8

steps:500

epchos:2
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How to use?

Follow common huggingface-api is enough or using other framework like VLLM, support continue training.

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import transformers
import torch

model_id = "/aml/llama3-ft"

pipeline = transformers.pipeline(
"text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
)
pipeline("川普和拜登谁能赢得大选??")


>> [{'generated_text': '川普和拜登谁能赢得大选?](https://www.voachinese.com'}]

Wechat:18618377979, Gmail:zhouboyang1983@gmail.com

README.md

@@ -6,3 +6,15 @@ metrics:
 - accuracy
 pipeline_tag: text-generation
 ---
+import transformers
+import torch
+
+model_id = "/aml/llama3-ft"
+
+pipeline = transformers.pipeline(
+    "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
+)
+pipeline("川普和拜登谁能赢得大选??")
+
+
+>> [{'generated_text': '川普和拜登谁能赢得大选?](https://www.voachinese.com'}]