Add suggestion to use v2 model

WDYT

@ArthurZ
?

README.md

@@ -166,6 +166,11 @@ for fine-tuning.
 Whisper was proposed in the paper [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356) 
 by Alec Radford et al from OpenAI. The original code repository can be found [here](https://github.com/openai/whisper).
 
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+  <p><b>Update:</b> following the release of the paper, the Whisper authors announced a <a href="ttps://huggingface.co/openai/whisper-large-v2"> large-v2</a> model trained for 2.5x more epochs with regularization. This <a href="ttps://huggingface.co/openai/whisper-large-v2"> large-v2</a> model surpasses the performance of the large model, with no architecture changes. Thus, it is recommended that the <a href="ttps://huggingface.co/openai/whisper-large-v2"> large-v2</a> model is used in-place of the original large model. </p>
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 **Disclaimer**: Content for this model card has partly been written by the Hugging Face team, and parts of it were 
 copied and pasted from the original model card.