remove doubled verb

README.md

@@ -55,7 +55,7 @@ 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")
+>>> generator("Hello, I'm conscious and")
 [{'generated_text': 'Hello, I am conscious and aware of the fact that I am a woman. I am aware of'}]
 ```
 
@@ -66,7 +66,7 @@ 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")
+>>> generator("Hello, I'm conscious and")
 [{'generated_text': 'Hello, I am conscious and active member of the Khaosan Group, a private, self'}]
 ```