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Update README.md

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@@ -23,19 +23,14 @@ A user is asking an ambiguous question (where ambiguous question is a question t
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  ```
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  from transformers import AutoTokenizer, AutoModelWithLMHead
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  tokenizer = AutoTokenizer.from_pretrained("salesken/clariq_gpt2")
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  model = AutoModelWithLMHead.from_pretrained("salesken/clariq_gpt2")
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  input_query="Serve your models directly from Hugging Face infrastructure and run large scale NLP models in milliseconds with just a few lines of code"
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  query= input_query + " ~~ "
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  input_ids = tokenizer.encode(query.lower(), return_tensors='pt')
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  sample_outputs = model.generate(input_ids,
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  do_sample=True,
 
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  ```
 
 
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  from transformers import AutoTokenizer, AutoModelWithLMHead
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  tokenizer = AutoTokenizer.from_pretrained("salesken/clariq_gpt2")
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  model = AutoModelWithLMHead.from_pretrained("salesken/clariq_gpt2")
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  input_query="Serve your models directly from Hugging Face infrastructure and run large scale NLP models in milliseconds with just a few lines of code"
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  query= input_query + " ~~ "
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  input_ids = tokenizer.encode(query.lower(), return_tensors='pt')
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  sample_outputs = model.generate(input_ids,
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  do_sample=True,