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  # 1.Usage:
 
 
 
 
 
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  # 1.Usage:
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+ ```python
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+ # Use a pipeline as a high-level helper
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+ from transformers import pipeline
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+ import torch
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+ model_id = "xbrain/text2sql-8b-instruct-v1"
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+
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+ messages = [
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+ {"role": "system",
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+ "content": "I want you to act as a SQL terminal in front of an example database, you need only to return the sql command to me.Below is an instruction that describes a task, Write a response that appropriately completes the request.\n\"\n##Instruction:\n database contains tables such as table_name_30. Table table_name_30 has columns such as nfl_team, draft_year."},
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+ {"role": "user",
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+ "content": "###Input:\nIn 1978 what is the NFL team?\n\n###Response:"},
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+ ]
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+ pipe_msg = pipeline(
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+ "text-generation",
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+ model=model_id,
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+ model_kwargs={"torch_dtype": torch.bfloat16},
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+ device_map="auto",)
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+
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+ outputs = pipe_msg(
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+ messages,
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+ max_new_tokens=256,
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+ )
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+ print(outputs[0]["generated_text"][-1])
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+ ```