whisper-large-zh-cv11

Name: whisper-large-zh-cv11
Author: jonatasgrosman

101

1 language

license:apache-2.0

jonatasgrosman

Audio Model

OTHER

New

101 downloads

Early-stage

Try on Hugging Face Add to Compare

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Laptop

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Mobile

Laptop

Server

Quick Summary

This model is a fine-tuned version of openai/whisper-large-v2 on Chinese (Mandarin) using the train and validation splits of Common Voice 11.

Code Examples

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

Usagepythontransformers

from transformers import pipeline

transcriber = pipeline(
  "automatic-speech-recognition", 
  model="jonatasgrosman/whisper-large-zh-cv11"
)

transcriber.model.config.forced_decoder_ids = (
  transcriber.tokenizer.get_decoder_prompt_ids(
    language="zh", 
    task="transcribe"
  )
)

transcription = transcriber("path/to/my_audio.wav")

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