Begin to support CTC models (#119)

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.

sherpa-onnx/python/csrc/offline-paraformer-model-config.cc

@@ -4,7 +4,6 @@
 
 #include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
 
-
 #include <string>
 #include <vector>
 
@@ -15,8 +14,7 @@ namespace sherpa_onnx {
 void PybindOfflineParaformerModelConfig(py::module *m) {
   using PyClass = OfflineParaformerModelConfig;
   py::class_<PyClass>(*m, "OfflineParaformerModelConfig")
-      .def(py::init<const std::string &>(),
-           py::arg("model"))
+      .def(py::init<const std::string &>(), py::arg("model"))
       .def_readwrite("model", &PyClass::model)
       .def("__str__", &PyClass::ToString);
 }