Add suggestion to use v2 model (#24)

- Add suggestion to use v2 model (1fc5b2dac25a610eac96c4ba46e283b6d8303c0c)


Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.huggingface.co>

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).
 
+<div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
+  <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>
+</div>
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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.