Update README.md

README.md

@@ -36,7 +36,7 @@ You can use this model directly with a pipeline for Text2Text generation, as sho
 ```python
 from transformers import pipeline, set_seed
 
-summarizer = pipeline('text2text-generation', model='describeai/gemini')
+summarizer = pipeline('text2text-generation', model='describeai/gemini-small')
 code = "print('hello world!')"
 
 response = summarizer(code, max_length=100, num_beams=3)
@@ -52,8 +52,8 @@ Summarized code: The following code is greeting the world.
 
 ### Model sizes
 
-Gemini: 770 Million Parameters
-Gemini-Small (this repo): 220 Million Parameters
+- Gemini: 770 Million Parameters
+- Gemini-Small (this repo): 220 Million Parameters
 
 
 ### Limitations