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Please see https://k2-fsa.github.io/sherpa/onnx/index.html for the documentation
It is similar to sherpa-ncnn but uses onnxruntime instead of ncnn for neural network computation.
The text was updated successfully, but these errors were encountered:
I've put it on my to-do list 👍
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The same team now has pre-builts for many Whisper sizes too! https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/export-onnx.html#available-models
Wonder how their performance compares.
k2-fsa/sherpa-onnx#471 The above PR removes the 30-second constraint from Whisper, which means you don't have to pad the input to 30-second.
It would be nice if someone could test it and compare the performance with other implementations.
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Please see https://k2-fsa.github.io/sherpa/onnx/index.html for the documentation
It is similar to sherpa-ncnn but uses onnxruntime instead of ncnn for neural network computation.
The text was updated successfully, but these errors were encountered: