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Update README.md

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@@ -21,6 +21,7 @@ use oig-sql dataset and support more complex sql parse
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  # How to Use
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  ```python
 
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  from transformers import AutoTokenizer, BartForConditionalGeneration
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  device = torch.device('cuda:0')
@@ -30,7 +31,7 @@ model = BartForConditionalGeneration.from_pretrained("LarkAI/bart_large_nl2sql")
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  text = "question: get people name with age less 25 table: id, name, age"
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  inputs = tokenizer([text], max_length=1024, return_tensors="pt")
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- output_ids = model.generate(inputs["input_ids"].to(self.device), num_beams=self.beams, max_length=128, min_length=8)
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  response_text = tokenizer.batch_decode(output_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
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  # SELECT name FROM table WHERE age < 25
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  ```
 
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  # How to Use
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  ```python
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+ import torch
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  from transformers import AutoTokenizer, BartForConditionalGeneration
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  device = torch.device('cuda:0')
 
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  text = "question: get people name with age less 25 table: id, name, age"
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  inputs = tokenizer([text], max_length=1024, return_tensors="pt")
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+ output_ids = model.generate(inputs["input_ids"].to(device), num_beams=self.beams, max_length=128, min_length=8)
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  response_text = tokenizer.batch_decode(output_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
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  # SELECT name FROM table WHERE age < 25
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  ```