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  1. README.md +4 -4
README.md CHANGED
@@ -91,7 +91,7 @@ You can view other LaMini-LM series as follow. Note that not all models are perf
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  ### Intended use
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  We recommend using the model to response to human instructions written in natural language.
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- We now show you how to load and use our model using HuggingFace `pipline()`.
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  ```python
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  # pip install -q transformers
@@ -99,12 +99,12 @@ from transformers import pipeline
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  checkpoint = "{model_name}"
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- model = pipeline('text2text-generation', model=checkpoint, use_auth_token=True, device=0)
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  input_prompt = 'Please let me know your thoughts on the given place and why you think it deserves to be visited: \n"Barcelona, Spain"'
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- generated_text = generator(input_prompt, max_length=512, do_sample=True)[0]['generated_text']
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- print("Response": generated_text)
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  ```
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  ## Training Procedure
 
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  ### Intended use
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  We recommend using the model to response to human instructions written in natural language.
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+ We now show you how to load and use our model using HuggingFace `pipeline()`.
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  ```python
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  # pip install -q transformers
 
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  checkpoint = "{model_name}"
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+ model = pipeline('text2text-generation', model = checkpoint)
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  input_prompt = 'Please let me know your thoughts on the given place and why you think it deserves to be visited: \n"Barcelona, Spain"'
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+ generated_text = model(input_prompt, max_length=512, do_sample=True)[0]['generated_text']
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+ print("Response", generated_text)
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  ```
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  ## Training Procedure