Update notebooks/whisper-quantized-example.ipynb

Co-authored-by: JaynieP <[email protected]>

notebooks/whisper-quantized-example.ipynb

@@ -397,7 +397,7 @@
     "To access the multilingual models, remove the `.en` from the checkpoint name. Note however that the multilingual models are slightly less accurate for this English transcription task but they can be used for transcribing other languages or for translating to English. The largest model `whisper-large` has 1550M parameters and requires a 4-IPUs pipeline.\n",
     "You can try it by setting `select_whisper_config(\"large\")`\n",
     "\n",
-    "You can also try using beam search by setting the `num_beams` parameter in the calls `parallelize` and `generate` above. `whisper-small` will fit on 1 IPU with `num_beams=5`.\n",
+    "You can also try using beam search by setting `num_beams>1` in the calls to `parallelize` and `generate` above. `whisper-small` will fit on 1 IPU with `num_beams=5`.\n",
     "\n",
     "For `whisper-medium` with `num_beams>1` the model will need 4 IPUs to fit. For `whisper-large` with `num_beams>1` you will need more than the IPU-POD4. On Paperspace, this is available using either an IPU-POD16 or a Bow Pod16 machine. Please contact Graphcore if you need assistance running these larger models.\n"
    ]