distil-whisper
/

distil-large-v3

Automatic Speech Recognition

Transformers.js

Inference Endpoints

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sanchit-gandhi HF staff commited on Mar 27

Commit

eeb61f6

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1 Parent(s): a8b7a5f

oai whisper language

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README.md +2 -2

README.md CHANGED Viewed

@@ -543,7 +543,7 @@ 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"])
 ```
@@ -554,7 +554,7 @@ 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")
 ```
 The Distil-Whisper model can also be used with the OpenAI Whisper CLI. Refer to the [following instructions](https://huggingface.co/distil-whisper/distil-large-v3-openai#cli-usage)

 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=sample, language="en")
 ```
 The Distil-Whisper model can also be used with the OpenAI Whisper CLI. Refer to the [following instructions](https://huggingface.co/distil-whisper/distil-large-v3-openai#cli-usage)