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@@ -33,7 +33,7 @@ The model does not recognize special symbols such as "æ", "ø" and "å", as it
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  The output of the model is a log-mel spectogram, which should be converted to a waveform using [microsoft/speecht5_hifigan](https://huggingface.co/microsoft/speecht5_hifigan). For better quality output the resulting waveform can be enhanced using [ResembleAI/resemble-enhance](https://huggingface.co/ResembleAI/resemble-enhance).
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- An example script showing how to use the model for inference can be found [here](https://github.com/JackismyShephard/hugging-face-audio-course/blob/main/finetuned_nst-da-inference.ipynb).
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  ## Training and evaluation data
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@@ -45,7 +45,7 @@ The model was trained and evaluated on [alexandrainst/nst-da](https://huggingfac
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  ## Training procedure
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- The script used for training the model (and pre-processing its data) can be found [here](https://github.com/JackismyShephard/hugging-face-audio-course/blob/main/finetuned-nst-da-training.ipynb).
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  ### Training hyperparameters
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  The output of the model is a log-mel spectogram, which should be converted to a waveform using [microsoft/speecht5_hifigan](https://huggingface.co/microsoft/speecht5_hifigan). For better quality output the resulting waveform can be enhanced using [ResembleAI/resemble-enhance](https://huggingface.co/ResembleAI/resemble-enhance).
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+ An example script showing how to use the model for inference can be found [here](https://github.com/JackismyShephard/hugging-face-audio-course/blob/main/notebooks/inference/finetuned-nst-da-inference.ipynb).
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  ## Training and evaluation data
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  ## Training procedure
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+ The script used for training the model (and pre-processing its data) can be found [here](https://github.com/JackismyShephard/hugging-face-audio-course/blob/main/notebooks/training/finetuned-nst-da-training.ipynb).
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  ### Training hyperparameters
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