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.
45 lines
1.3 KiB
C++
45 lines
1.3 KiB
C++
// sherpa-onnx/csrc/offline-model-config.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_MODEL_CONFIG_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_MODEL_CONFIG_H_
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#include <string>
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#include "sherpa-onnx/csrc/offline-nemo-enc-dec-ctc-model-config.h"
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#include "sherpa-onnx/csrc/offline-paraformer-model-config.h"
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#include "sherpa-onnx/csrc/offline-transducer-model-config.h"
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namespace sherpa_onnx {
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struct OfflineModelConfig {
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OfflineTransducerModelConfig transducer;
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OfflineParaformerModelConfig paraformer;
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OfflineNemoEncDecCtcModelConfig nemo_ctc;
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std::string tokens;
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int32_t num_threads = 2;
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bool debug = false;
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OfflineModelConfig() = default;
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OfflineModelConfig(const OfflineTransducerModelConfig &transducer,
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const OfflineParaformerModelConfig ¶former,
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const OfflineNemoEncDecCtcModelConfig &nemo_ctc,
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const std::string &tokens, int32_t num_threads, bool debug)
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: transducer(transducer),
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paraformer(paraformer),
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nemo_ctc(nemo_ctc),
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tokens(tokens),
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num_threads(num_threads),
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debug(debug) {}
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void Register(ParseOptions *po);
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bool Validate() const;
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std::string ToString() const;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_MODEL_CONFIG_H_
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