Update README.md

README.md

@@ -1,7 +1,7 @@
----
-library_name: transformers
-license: other
----
+---
+library_name: transformers
+license: other
+---
 
 This is an early checkpoint of sarvam-2b, a small, yet powerful language model pre-trained from scratch on 4 trillion tokens. It is trained to be good at 10 Indic languages + English. Officially, the Indic languages supported are: Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, and Telugu.
 
@@ -10,7 +10,7 @@ sarvam-2b will be trained on a data mixture containing equal parts English (2T)
 Getting started:
 ```
 from transformers import pipeline
-pipe = pipeline(model='sarvam/sarvam-2b-pt', device=0)
+pipe = pipeline(model='sarvamai/sarvam-2b-v0.5', device=0)
 pipe('भारत के प्रथम प्रधानमंत्री', max_new_tokens=15, temperature=0.1, repetition_penalty=1.2)[0]['generated_text']
 # 'भारत के प्रथम प्रधानमंत्री जवाहरलाल नेहरू की बेटी इंदिरा गांधी थीं।\n\n'
 ```