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Update README.md

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@@ -39,18 +39,18 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- from transformers import pipeline
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- import torch
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-
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- modelName="ajibs75/whisper-small-yoruba"
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- device = 0 if torch.cuda.is_available() else "cpu"
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- pipe = pipeline(task="automatic-speech-recognition",model=modelName,chunk_length_s=30,device=device,)
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- pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language="yo", task="transcribe")
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-
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- audio = "sample.mp3"
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- text = pipe(audio)
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- transacribed_audio = text["text"]
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- print(transacribed_audio)
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  ## Intended uses & limitations
 
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  ## Model description
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+ >>> from transformers import pipeline
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+ >>> import torch
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+
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+ >>> modelName="ajibs75/whisper-small-yoruba"
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+ >>> device = 0 if torch.cuda.is_available() else "cpu"
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+ >>> pipe = pipeline(task="automatic-speech-recognition",model=modelName,chunk_length_s=30,device=device,)
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+ >>> pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language="yo", task="transcribe")
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+
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+ >>> audio = "sample.mp3"
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+ >>> text = pipe(audio)
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+ >>> transacribed_audio = text["text"]
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+ >>> print(transacribed_audio)
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  ## Intended uses & limitations