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.
23 lines
677 B
C++
23 lines
677 B
C++
// sherpa-onnx/python/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/python/csrc/offline-nemo-enc-dec-ctc-model-config.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/csrc/offline-nemo-enc-dec-ctc-model-config.h"
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namespace sherpa_onnx {
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void PybindOfflineNemoEncDecCtcModelConfig(py::module *m) {
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using PyClass = OfflineNemoEncDecCtcModelConfig;
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py::class_<PyClass>(*m, "OfflineNemoEncDecCtcModelConfig")
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.def(py::init<const std::string &>(), py::arg("model"))
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.def_readwrite("model", &PyClass::model)
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.def("__str__", &PyClass::ToString);
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}
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} // namespace sherpa_onnx
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