Update model card

README.md

@@ -29,7 +29,7 @@ You can use this model directly with a pipeline for text generation. This exampl
 
 ```py
 >>> from transformers import pipeline, set_seed
->>> generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
+>>> generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
 >>> generator("EleutherAI has", do_sample=True, min_length=50)
 
 [{'generated_text': 'EleutherAI has made a commitment to create new software packages for each of its major clients and has'}]