Update README.md

README.md

@@ -1,6 +1,10 @@
 ---
 license: apache-2.0
 ---
+Out repository [flan-alpaca-lora](https://github.com/Reason-Wang/flan-alpaca-lora) contains the details to train flan-t5 with [Alpaca](https://github.com/tatsu-lab/stanford_alpaca) instructions and [low-rank adaptation](https://arxiv.org/abs/2106.09685). 
+
+You can use the following code easily.
+
 Usage:
 
 ```python
@@ -10,7 +14,7 @@ from peft import PeftModel
 base_model = transformers.AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base")
 peft_model = PeftModel.from_pretrained(base_model,"reasonwang/flan-alpaca-lora-base")
 
-inputs = tokenizer("Write an email to a boy whose parent passed away:", return_tensors="pt")
+inputs = tokenizer("What should I say when my friend is crying?", return_tensors="pt")
 outputs = peft_model.generate(**inputs, max_length=128, do_sample=True)
 print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
-```
+```