up

README.md

@@ -268,7 +268,7 @@ pip install faster-whisper
 Then, download the model converted to the CTranslate2 format:
 
 ```bash
-python -c "from huggingface_hub import snapshot_download; snapshot_download(repo_id='bofenghuang/whisper-large-v3-distil-fr-v0.2', local_dir='./models/whisper-large-v3-distil-fr-v0.2', allow_patterns='ctranslate2/*')"
+huggingface-cli download --include ctranslate2/* --local-dir ./models/whisper-large-v3-distil-fr-v0.2 bofenghuang/whisper-large-v3-distil-fr-v0.2
 ```
 
 Now, you can transcirbe audio files by following the usage instructions provided in the repository:
@@ -278,7 +278,7 @@ from datasets import load_dataset
 from faster_whisper import WhisperModel
 
 # Load model
-model_name_or_path = "./models/whisper-large-v3-distil-fr-v0.2/ctranslate2
+model_name_or_path = "./models/whisper-large-v3-distil-fr-v0.2/ctranslate2"
 model = WhisperModel(model_name_or_path", device="cuda", compute_type="float16")  # Run on GPU with FP16
 
 # Example audio
@@ -311,7 +311,7 @@ Next, download the converted ggml weights from the Hugging Face Hub:
 
 ```bash
 # Download model quantized with Q5_0 method
-python -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='bofenghuang/whisper-large-v3-distil-fr-v0.2', filename='ggml-model-q5_0.bin', local_dir='./models/whisper-large-v3-distil-fr-v0.2')"
+huggingface-cli download --include ggml-model* --local-dir ./models/whisper-large-v3-distil-fr-v0.2 bofenghuang/whisper-large-v3-distil-fr-v0.2
 ```
 
 Now, you can transcribe an audio file using the following command:
@@ -364,7 +364,7 @@ Download the pytorch checkpoint in the original OpenAI format and convert it int
 
 ```bash
 # Download
-python -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='bofenghuang/whisper-large-v3-distil-fr-v0.2', filename='original_model.pt', local_dir='./models/whisper-large-v3-distil-fr-v0.2')"
+huggingface-cli download --include original_model.pt --local-dir ./models/whisper-large-v3-distil-fr-v0.2 bofenghuang/whisper-large-v3-distil-fr-v0.2
 # Convert into .npz
 python convert.py --torch-name-or-path ./models/whisper-large-v3-distil-fr-v0.2/original_model.pt --mlx-path ./mlx_models/whisper-large-v3-distil-fr-v0.2
 ```