Whisper Large v3 Italian
This model is a fine-tuned version of [openai/whisper-large-v3] (https://huggingface.co/openai/whisper-large-v3) on Italian using the train and validation split of [Common Voice 16] (https://huggingface.co/datasets/fsicoli/common_voice_16_0).
Usage
from transformers import pipeline
transcriber = pipeline(
"automatic-speech-recognition",
model="fsicoli/whisper-large-v3-it-cv16"
)
transcriber.model.config.forced_decoder_ids = (
transcriber.tokenizer.get_decoder_prompt_ids(
language="it",
task="transcribe"
)
)
transcription = transcriber("path/to/my_audio.wav")
Model Description
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How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
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Test split of [Common Voice 16] (https://huggingface.co/datasets/fsicoli/common_voice_16_0).
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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