Fangjun Kuang
Committed by GitHub

Update README.md for KWS to not use `git lfs`. (#1729)

... ... @@ -7,21 +7,34 @@ to download a model.
# Kws
The following is an example:
```
cd sherpa-onnx/wasm/kws
git clone https://www.modelscope.cn/pkufool/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.git assets
```bash
cd sherpa-onnx/wasm/kws/assets
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/kws-models/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
tar xvf sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
rm sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
mv sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/encoder-epoch-12-avg-2-chunk-16-left-64.onnx ./
mv sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/decoder-epoch-12-avg-2-chunk-16-left-64.onnx ./
mv sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/joiner-epoch-12-avg-2-chunk-16-left-64.onnx ./
mv sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/tokens.txt ./
rm -rf sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01
```
You should have the following files in `assets` before you can run
`build-wasm-simd-kws.sh`
```
├── decoder-epoch-12-avg-2-chunk-16-left-64.onnx
├── encoder-epoch-12-avg-2-chunk-16-left-64.onnx
├── joiner-epoch-12-avg-2-chunk-16-left-64.onnx
├── keywords_raw.txt
├── keywords.txt
├── README.md
└── tokens.txt
```bash
fangjuns-MacBook-Pro:assets fangjun$ pwd
/Users/fangjun/open-source/sherpa-onnx/wasm/kws/assets
fangjuns-MacBook-Pro:assets fangjun$ ls -lh
total 25616
-rw-r--r-- 1 fangjun staff 692B Oct 29 16:53 README.md
-rw-r--r-- 1 fangjun staff 660K Aug 14 15:21 decoder-epoch-12-avg-2-chunk-16-left-64.onnx
-rw-r--r-- 1 fangjun staff 12M Aug 14 15:21 encoder-epoch-12-avg-2-chunk-16-left-64.onnx
-rw-r--r-- 1 fangjun staff 247K Aug 14 15:21 joiner-epoch-12-avg-2-chunk-16-left-64.onnx
-rw-r--r-- 1 fangjun staff 1.6K Aug 14 15:08 tokens.txt
```
**Hint**: Remember to remove extra files from ``assets``. For instance, please remember to remove
the file `sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2`.
... ...