9ac747248b
* Commit after creating the project * Add sherpa-onnx related files * copy and modify files from sherpa-ncnn * add app icon
36 lines
1.2 KiB
Swift
36 lines
1.2 KiB
Swift
import Foundation
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func getResource(_ forResource: String, _ ofType: String) -> String {
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let path = Bundle.main.path(forResource: forResource, ofType: ofType)
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precondition(
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path != nil,
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"\(forResource).\(ofType) does not exist!\n" + "Remember to change \n"
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+ " Build Phases -> Copy Bundle Resources\n" + "to add it!"
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)
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return path!
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}
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/// Please refer to
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/// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
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/// to download pre-trained models
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/// sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20 (Bilingual, Chinese + English)
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/// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/zipformer-transducer-models.html
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func getBilingualStreamZhEnZipformer20230220() -> SherpaOnnxOnlineTransducerModelConfig {
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let encoder = getResource("encoder-epoch-99-avg-1", "onnx")
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let decoder = getResource("decoder-epoch-99-avg-1", "onnx")
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let joiner = getResource("joiner-epoch-99-avg-1", "onnx")
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let tokens = getResource("tokens", "txt")
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return sherpaOnnxOnlineTransducerModelConfig(
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encoder: encoder,
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decoder: decoder,
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joiner: joiner,
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tokens: tokens,
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numThreads: 2
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)
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}
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/// Please refer to
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/// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
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/// to add more models if you need
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