Update README.md (#38)

- Update README.md (662565064bbfc55b8ffc6a90e1fd2ca295c5c070)


Co-authored-by: Amy Roberts <[email protected]>

README.md

@@ -55,8 +55,8 @@ You can use this model directly with a pipeline for text generation.
 >>> from transformers import pipeline
 
 >>> generator = pipeline('text-generation', model="facebook/opt-125m")
->>> generator("Hello, I'm am conscious and")
-[{'generated_text': 'Hello, I am conscious and aware of the fact that I am a woman. I am aware of'}]
+>>> generator("What are we having for dinner?")
+[{'generated_text': 'What are we having for dinner?\nA nice dinner with a friend.\nI'm not sure'}]
 ```
 
 By default, generation is deterministic. In order to use the top-k sampling, please set `do_sample` to `True`. 
@@ -66,8 +66,8 @@ By default, generation is deterministic. In order to use the top-k sampling, ple
 
 >>> set_seed(32)
 >>> generator = pipeline('text-generation', model="facebook/opt-125m", do_sample=True)
->>> generator("Hello, I'm am conscious and")
-[{'generated_text': 'Hello, I am conscious and active member of the Khaosan Group, a private, self'}]
+>>> generator("What are we having for dinner?")
+[{'generated_text': 'What are we having for dinner?\nCoffee, sausage and cream cheese at Chili's.'}]
 ```
 
 ### Limitations and bias