update readme

README.md

@@ -11,41 +11,10 @@ The inference framework is <https://github.com/k2-fsa/sherpa-ncnn>
 
 # Usage
 
-```bash
-sudo apt-get install git-lfs
+please see
+https://k2-fsa.github.io/sherpa/ncnn/pretrained_models/lstm-transducer-models.html#csukuangfj-sherpa-ncnn-2022-09-05-english
+for usage.
 
-git clone https://github.com/k2-fsa/sherpa-ncnn
-cd sherpa-ncnn
-mkdir build
-cd build
-cmake ..
-make -j6
-cd ..
-
-# Now download the pretrained model
-
-git lfs install
-git clone https://huggingface.co/csukuangfj/sherpa-ncnn-2022-09-05
-
-./build/bin/sherpa-ncnn \
-  ./sherpa-ncnn-2022-09-05/tokens.txt \
-  ./sherpa-ncnn-2022-09-05/bar/encoder_jit_trace-v2-iter-468000-avg-16-pnnx.ncnn.param \
-  ./sherpa-ncnn-2022-09-05/bar/encoder_jit_trace-v2-iter-468000-avg-16-pnnx.ncnn.bin \
-  ./sherpa-ncnn-2022-09-05/bar/decoder_jit_trace-v2-iter-468000-avg-16-pnnx.ncnn.param \
-  ./sherpa-ncnn-2022-09-05/bar/decoder_jit_trace-v2-iter-468000-avg-16-pnnx.ncnn.bin \
-  ./sherpa-ncnn-2022-09-05/bar/joiner_jit_trace-v2-iter-468000-avg-16-pnnx.ncnn.param \
-  ./sherpa-ncnn-2022-09-05/bar/joiner_jit_trace-v2-iter-468000-avg-16-pnnx.ncnn.bin \
-  ./sherpa-ncnn-2022-09-05/test_wavs/1089-134686-0001.wav
-```
-
-If you have any issues, please ask at
-<https://github.com/k2-fsa/sherpa-ncnn/issues>
-
-Please see
-<https://k2-fsa.github.io/icefall/recipes/librispeech/lstm_pruned_stateless_transducer.html>
-for how the model is trained and exported to ncnn if you are interested.
 
 [pnnx]: https://github.com/Tencent/ncnn/tree/master/tools/pnnx
 [ncnn]: https://github.com/tencent/ncnn
-[icefall]: https://github.com/k2-fsa/icefall
-