Update README.md

README.md

@@ -22,30 +22,33 @@ Steps for getting started:
 git clone https://github.com/ggerganov/whisper.cpp.git
 cd whisper.cpp
 ```
-2. Install the Hugging Face Hub Python package:
+2. Download the GGML weights for `kotoba-tech/kotoba-whisper-v1.0`:
+
 ```bash
-pip install --upgrade huggingface_hub
+wget https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/resolve/main/ggml-kotoba-whisper-v1.0.bin -P ./models
 ```
-And download the GGML weights for `kotoba-tech/kotoba-whisper-v1.0` using the following Python snippet:
 
-```python
-from huggingface_hub import hf_hub_download
+3. Run inference using the provided sample audio:
 
-hf_hub_download(repo_id='kotoba-tech/kotoba-whisper-v1.0-ggml', filename='ggml-kotoba-whisper-v1.0.bin', local_dir='./models')
+```bash
+wget 
+make -j && ./main -m models/ggml-kotoba-whisper-v1.0.bin -f sample_ja_speech.wav
 ```
 
-Note that if you do not have a Python environment set-up, you can also download the weights directly with `wget`:
+### Quantized Model
+To use the quantized model, download the quantized GGML weights:
 
 ```bash
-wget https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/resolve/main/ggml-kotoba-whisper-v1.0.bin -P ./models
+wget https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml/resolve/main/ggml-kotoba-whisper-v1.0-q5_0.bin -P ./models
 ```
 
-3. Run inference using the provided sample audio:
-
+Run inference on the sample audio:
 ```bash
-make -j && ./main -m models/ggml-kotoba-whisper-v1.0.bin -f samples/jfk.wav
+wget 
+make -j && ./main -m models/ggml-kotoba-whisper-v1.0-q5_0.bin -f sample_ja_speech.wav
 ```
 
+
 ## Model Details
 
 For more information about the kotoba-whisper-v1.0, refer to the original [model card](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0).