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@@ -28,7 +28,7 @@ More information needed
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  ## Intended uses & limitations
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- The model is fine-tuned to perfom transcription of Chichewa. There are several versions of this model, please refer to the usage example notebook to see how to find the commit which has model with best WER.
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  Alternatively, you can explore the Files and Versions tab, go to commits and find the commit with best WER (around 61).
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  Also, its worth noting that the model repo doesnt have a ```tokenizer.json```, as a results the model needs to be loaded using WhisperProcessor
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  instead of AutoModel or other modules in Transformer.
 
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  ## Intended uses & limitations
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+ The model is fine-tuned to perfom transcription of Chichewa. There are several versions of this model, please refer to the [usage example notebook](./usage-example.ipynb) to see how to find the commit which has model with best WER.
32
  Alternatively, you can explore the Files and Versions tab, go to commits and find the commit with best WER (around 61).
33
  Also, its worth noting that the model repo doesnt have a ```tokenizer.json```, as a results the model needs to be loaded using WhisperProcessor
34
  instead of AutoModel or other modules in Transformer.