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Update README.md

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@@ -7,10 +7,9 @@ Fine-tuned facebook/wav2vec2-large on English using the UISpeech Corpus. When us
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  The script used for training can be found here: https://github.com/amceejay/HIYACCENT-NE-Speech-Recognition-System
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- Usage
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- The model can be used directly (without a language model) as follows...
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- Using the ASRecognition library:
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  from asrecognition import ASREngine
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  asr = ASREngine("fr", model_path="codeceejay/HIYACCENT_Wav2Vec2")
@@ -20,7 +19,7 @@ transcriptions = asr.transcribe(audio_paths)
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- Writing your own inference speech:
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  import torch
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  import librosa
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  from datasets import load_dataset
 
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  The script used for training can be found here: https://github.com/amceejay/HIYACCENT-NE-Speech-Recognition-System
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+ ##Usage: The model can be used directly (without a language model) as follows...
 
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+ #Using the ASRecognition library:
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  from asrecognition import ASREngine
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  asr = ASREngine("fr", model_path="codeceejay/HIYACCENT_Wav2Vec2")
 
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+ ##Writing your own inference speech:
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  import torch
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  import librosa
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  from datasets import load_dataset