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Applicability to the trained ASR model #6

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miziworld opened this issue Mar 29, 2022 · 3 comments
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Applicability to the trained ASR model #6

miziworld opened this issue Mar 29, 2022 · 3 comments
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@miziworld
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Hello, I found this project very interesting because it seems to be a necessary feature for me.
If I already have a trained ASR transformer model, can it be applied to this project without additional training?

@airaria
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airaria commented Mar 30, 2022

Hi,
TextPruner is designed to be used without additional training.
But currently it only supports the models listed in the README.
It works as long as your model is built on those models (with the same model structure and name convention).
Or you could try to extend TextPruner with your models (maybe model_map.py is a good place to start)

@stale
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stale bot commented Apr 6, 2022

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

@stale stale bot added the stale label Apr 6, 2022
@stale
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stale bot commented Apr 14, 2022

Closing the issue, since no updates observed. Feel free to re-open if you need any further assistance.

@stale stale bot closed this as completed Apr 14, 2022
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