distil-whisper
/

distil-large-v3-openai

Automatic Speech Recognition

Model card Files Files and versions Community

sanchit-gandhi HF staff commited on Mar 27

Commit

8194103

•

1 Parent(s): 8d11d21

set lang

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -41,7 +41,7 @@ model = load_model(model_path)
 dataset = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
 sample = dataset[0]["audio"]["path"]
-pred_out = transcribe(model, audio=sample)
 print(pred_out["text"])
 ```
@@ -52,7 +52,7 @@ again.
 To transcribe a local audio file, simply pass the path to the audio file as the `audio` argument to transcribe:
 ```python
-pred_out = transcribe(model, audio="audio.mp3")
 ```
 ## CLI Usage
@@ -72,7 +72,7 @@ huggingface-cli download distil-whisper/distil-large-v3-openai model.bin --local
 Finally, use the OpenAI Whisper CLI to transcribe:
 ```bash
-whisper audio.mp3 --model distil-large-v3/model.bin
 ```

 dataset = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
 sample = dataset[0]["audio"]["path"]
+pred_out = transcribe(model, audio=sample, language="en")
 print(pred_out["text"])
 ```
 To transcribe a local audio file, simply pass the path to the audio file as the `audio` argument to transcribe:
 ```python
+pred_out = transcribe(model, audio="audio.mp3", language="en")
 ```
 ## CLI Usage
 Finally, use the OpenAI Whisper CLI to transcribe:
 ```bash
+whisper audio.mp3 --model distil-large-v3/model.bin --language en
 ```