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@@ -28,9 +28,17 @@ if you are interested in how the model is trained.
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We provide exported models in ncnn format and they can be downloaded using
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the following links:
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+**LSTM transducer**
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+
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- English: <https://huggingface.co/csukuangfj/sherpa-ncnn-2022-09-05>
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- Chinese: <https://huggingface.co/csukuangfj/sherpa-ncnn-2022-09-30>
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+**ConvEmformer transducer**
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+
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+ - English: <https://huggingface.co/csukuangfj/sherpa-ncnn-conv-emformer-transducer-2022-12-04>
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+ - Chinese + English (all-in-one): <https://huggingface.co/csukuangfj/sherpa-ncnn-conv-emformer-transducer-2022-12-06>
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+ - Chinese (18.6 M parameters): <https://huggingface.co/csukuangfj/sherpa-ncnn-conv-emformer-transducer-2022-12-08>
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+
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## Build for Linux/macOS
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```bash
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