NVIDIA
This model transcribes speech in upper and lower case German alphabet along with spaces, periods, commas, and question marks. It is a "large" version of FastConformer Transducer-CTC (around 115M parameters) model. This is a hybrid model trained on two losses: Transducer (default) and CTC.
Running this yourself: can likely run on your own machine.
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20.4
Quality Score
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Arena ELO
115M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
13 of 22 public signals
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443
Downloads
7
Likes
May 2023
Released
3/5 signals
1/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources