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@@ -170,6 +170,8 @@ As you can see this model performs better with WER metric on validation(evaluati
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  The script used for training can be found [here](https://colab.research.google.com/github/lnxdx/Wav2Vec2-Large-XLSR-Persian-ASR/blob/main/Fine_Tune_Wav2Vec2_Large_XLSR_on_ShEMO_for_Persian_ASR_with_%F0%9F%A4%97_Transformers.ipynb).
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  Check out [this blog](https://huggingface.co/blog/fine-tune-xlsr-wav2vec2) for more information.
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  #### Framework versions
 
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  The script used for training can be found [here](https://colab.research.google.com/github/lnxdx/Wav2Vec2-Large-XLSR-Persian-ASR/blob/main/Fine_Tune_Wav2Vec2_Large_XLSR_on_ShEMO_for_Persian_ASR_with_%F0%9F%A4%97_Transformers.ipynb).
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+ The script used for evaluating on ShEMO and Common Voice can be found [here](https://colab.research.google.com/github/lnxdx/Wav2Vec2-Large-XLSR-Persian-ASR/blob/main/evaluate_asr_on_shemo_and_common_voice.ipynb).
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  Check out [this blog](https://huggingface.co/blog/fine-tune-xlsr-wav2vec2) for more information.
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  #### Framework versions