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@@ -40,7 +40,17 @@ The fine-tuning process involved several key steps and configurations to optimiz
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  <summary>Click to copy Python code</summary>
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  ##
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- <tab><tab>
 
 
 
 
 
 
 
 
 
 
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  ```python
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  import torch
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  from transformers import AutoModelForCausalLM, BitsAndBytesConfig, AutoTokenizer
@@ -77,4 +87,3 @@ The fine-tuning process involved several key steps and configurations to optimiz
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  model.eval()
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  with torch.no_grad():
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  print(tokenizer.decode(model.generate(**model_input, max_new_tokens=100)[0], skip_special_tokens=True))
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-
 
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  <summary>Click to copy Python code</summary>
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  ##
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+
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+
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+ ### Context:
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+ CREATE TABLE table_name_12 (class VARCHAR, frequency_mhz VARCHAR, city_of_license VARCHAR)
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+
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+ ### Response:
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+
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+ ### Explain:
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+ <details>
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+ <summary>Click to copy Python code</summary>
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+
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  ```python
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  import torch
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  from transformers import AutoModelForCausalLM, BitsAndBytesConfig, AutoTokenizer
 
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  model.eval()
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  with torch.no_grad():
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  print(tokenizer.decode(model.generate(**model_input, max_new_tokens=100)[0], skip_special_tokens=True))