Fairseq
PyTorch
Safetensors
hubert
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@@ -30,3 +30,7 @@ HUTTER-12: H(uBERT) UTTER model covering 12 languages.
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  * Number of updates: 400k
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  * Number of iterations: 3
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  * Clustering approach: mini-batch K-means (100% of the data)
 
 
 
 
 
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  * Number of updates: 400k
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  * Number of iterations: 3
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  * Clustering approach: mini-batch K-means (100% of the data)
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+ # Funding
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+ This is an output of the European Project UTTER (Unified Transcription and Translation for Extended Reality) under grant number 101070631. For more information go to https://he-utter.eu/