Add pre-trained models for the Libriheavy dataset #1122
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Save APKs for each release in a separate directory. Huggingface requires that each directory cannot contain more than 1000 files. Since we have so many tts models and for each model we need to build APKs of 4 different ABIs, it is a workaround for the huggingface's constraint by placing them into separate directories for different releases.
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https://github.com/k2-fsa/sherpa-onnx/releases/asr-models
You can try them at
https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition