Adding the link to a notebook in the model card

README.md

@@ -46,6 +46,9 @@ This model can used for Automatic Speech Recognition (ASR) in Catalan. The model
 
 ## How to Get Started with the Model
 
+To see an updated and functional version of this code, please see our our [Notebook](https://colab.research.google.com/drive/1v_3m1aR9CwYXgPVBlhwDI9Hz4V5Dlh95?usp=sharing
+).
+
 ### Installation
 
 In order to use this model, you may install [faster-whisper](https://github.com/guillaumekln/faster-whisper/tree/master) 
@@ -79,7 +82,7 @@ model = WhisperModel(model_size, device="cuda", compute_type="float16")
 # or run on CPU with INT8
 # model = WhisperModel(model_size, device="cpu", compute_type="int8")
 
-segments, info = model.transcribe("audio_in_catalan.mp3", beam_size=5, task="translate",language="ca")
+segments, info = model.transcribe("audio_in_catalan.mp3", beam_size=5, task="transcribe",language="ca")
 
 print("Detected language '%s' with probability %f" % (info.language, info.language_probability))