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@@ -35,6 +35,7 @@ pipeline_tag: automatic-speech-recognition
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  - πŸ“ž **Phone Call Optimized**: Specifically trained on short conversational segments typical of phone calls
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  - πŸš€ **Turbo Performance**: Inherits the speed advantages of whisper-large-v3-turbo
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  - πŸ’Ό **Enterprise Ready**: Developed by [Olib AI](https://www.olib.ai) for business applications
 
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  ## πŸ“Š Training Details
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@@ -62,6 +63,8 @@ model = AutoModelForSpeechSeq2Seq.from_pretrained(
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  )
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  model.to(device)
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  processor = AutoProcessor.from_pretrained(model_id)
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  pipe = pipeline(
 
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  - πŸ“ž **Phone Call Optimized**: Specifically trained on short conversational segments typical of phone calls
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  - πŸš€ **Turbo Performance**: Inherits the speed advantages of whisper-large-v3-turbo
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  - πŸ’Ό **Enterprise Ready**: Developed by [Olib AI](https://www.olib.ai) for business applications
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+ - πŸ”§ **FP32 Precision**: Full precision model for maximum accuracy
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  ## πŸ“Š Training Details
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  )
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  model.to(device)
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+ # Note: This model is in FP32 format
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+
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  processor = AutoProcessor.from_pretrained(model_id)
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  pipe = pipeline(