Release v1.0 (#18)

* Release v1.0

* Add link to doc

 cmake_minimum_required(VERSION 3.8 FATAL_ERROR)
 project(sherpa-onnx)
 
-set(SHERPA_ONNX_VERSION "0.1")
+set(SHERPA_ONNX_VERSION "1.0")
 
 set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
 set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")

 # Introduction
 
+Documentation: <https://k2-fsa.github.io/sherpa/onnx/index.html>
+
 See <https://github.com/k2-fsa/sherpa>
 
 This repo uses [onnxruntime](https://github.com/microsoft/onnxruntime) and

@@ -13,5 +13,5 @@ target_link_libraries(sherpa-onnx
   kaldi-native-fbank-core
 )
 
-add_executable(sherpa-show-onnx-info show-onnx-info.cc)
-target_link_libraries(sherpa-show-onnx-info onnxruntime)
+# add_executable(sherpa-show-onnx-info show-onnx-info.cc)
+# target_link_libraries(sherpa-show-onnx-info onnxruntime)

@@ -80,8 +80,8 @@ Usage:
     /path/to/encoder.onnx \
     /path/to/decoder.onnx \
     /path/to/joiner.onnx \
-    /path/to/joiner_encoder_proj.ncnn.param \
-    /path/to/joiner_decoder_proj.ncnn.param \
+    /path/to/joiner_encoder_proj.onnx \
+    /path/to/joiner_decoder_proj.onnx \
     /path/to/foo.wav [num_threads]
 
 You can download pre-trained models from the following repository: