Update README.md

README.md

@@ -13,8 +13,8 @@ This repository contains the model weights for [distil-large-v3](https://hugging
 converted to [GGML](https://github.com/ggerganov/ggml) format. GGML is the weight format expected by C/C++ packages 
 such as [Whisper.cpp](https://github.com/ggerganov/whisper.cpp), for which we provide an example below.
 
-Compared to previous Distil-Whisper releases, the distil-large-v3 is specifically designed to give one-to-one equivalence
-with the Whisper cpp long-form transcription algorithm. In our benchmark over 4 out-of-distribution datasets, distil-large-v3
+Compared to previous Distil-Whisper releases, distil-large-v3 is specifically designed to give one-to-one equivalence
+with the OpenAI Whisper long-form transcription algorithm. In our benchmark over 4 out-of-distribution datasets, distil-large-v3
 outperformed distil-large-v2 by 5% WER average. Thus, you can expect significant performance gains by switching to this 
 latest checkpoint.
 
@@ -31,13 +31,19 @@ Steps for getting started:
 git clone https://github.com/ggerganov/whisper.cpp.git
 cd whisper.cpp
 ```
-2. Download the GGML weights for distil-large-v3 in fp16 from the Hugging Face Hub:
-
+2. Install the Hugging Face Hub Python package:
 ```bash
-python -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='distil-whisper/distil-large-v3-ggml', filename='ggml-distil-large-v3.bin', local_dir='./models')"
+pip install --upgrade huggingface_hub
+```
+And download the GGML weights for distil-large-v3 using the following Python snippet:
+
+```python
+from huggingface_hub import hf_hub_download
+
+hf_hub_download(repo_id='distil-whisper/distil-large-v3-ggml', filename='ggml-distil-large-v3.bin', local_dir='./models')
 ```
 
-Note that if you do not have the `huggingface_hub` package installed, you can also download the weights with `wget`:
+Note that if you do not have a Python environment set-up, you can also download the weights directly with `wget`:
 
 ```bash
 wget https://huggingface.co/distil-whisper/distil-large-v3-ggml/resolve/main/ggml-distil-large-v3.bin -P ./models