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update reamde

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  1. README.md +4 -1
README.md CHANGED
@@ -8,7 +8,10 @@ sdk_version: 5.38.0
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  app_file: app.py
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  pinned: false
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  license: mit
 
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  short_description: Multiple sampling rate MOS prediction with SFI conv
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
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  app_file: app.py
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  pinned: false
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  license: mit
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+ python_version: 3.12
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  short_description: Multiple sampling rate MOS prediction with SFI conv
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  ---
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+ In this space we showcase the prediction demo of "MSR-UTMOS".
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+ This demo uses sfi-w2v2 with pretraining on BVCC dataset.
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+ Please note that the prediction only uses fold0 of model. For the challenge submission, we used prediction results from all 7 folds.