80060c276d
Please see https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/nemo/index.html for a list of pre-trained CTC models from NeMo.
36 lines
861 B
C++
36 lines
861 B
C++
// sherpa-onnx/csrc/offline-nemo-enc-dec-ctc-model-config.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-nemo-enc-dec-ctc-model-config.h"
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#include "sherpa-onnx/csrc/file-utils.h"
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#include "sherpa-onnx/csrc/macros.h"
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namespace sherpa_onnx {
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void OfflineNemoEncDecCtcModelConfig::Register(ParseOptions *po) {
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po->Register("nemo-ctc-model", &model,
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"Path to model.onnx of Nemo EncDecCtcModel.");
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}
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bool OfflineNemoEncDecCtcModelConfig::Validate() const {
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if (!FileExists(model)) {
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SHERPA_ONNX_LOGE("%s does not exist", model.c_str());
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return false;
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}
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return true;
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}
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std::string OfflineNemoEncDecCtcModelConfig::ToString() const {
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std::ostringstream os;
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os << "OfflineNemoEncDecCtcModelConfig(";
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os << "model=\"" << model << "\")";
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return os.str();
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}
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} // namespace sherpa_onnx
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