Comments (1)
Best way to do this is to use the promptTokens
parameter in DecodingOptions
. This will add whatever tokens you pass into the <|startofprev|>
section of the prompt that is passed into the decoder and can help with spelling and punctuation style, but keep in mind this is not like a LLM prompt, it should purely be used as an example of the style and spelling of output you're looking for. Check out these test cases for how you might be able to implement it in your code:
WhisperKit/Tests/WhisperKitTests/UnitTests.swift
Lines 730 to 759 in 3bab206
from whisperkit.
Related Issues (20)
- Indeterminate visionOS tests HOT 3
- Enable word timestamps for distil-large-v3 HOT 1
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- When transcribing non english audio files, I get results always translated in english :( Even though it's correct but not in the original language. HOT 1
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- How to use custom prompts? Couldn't find the usage from the examples. HOT 2
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- @atiorh Today, I tested the latest version of the WhisperAX app consistently crashes when loading the 'openai_whisper-large-v3_947MB' file. HOT 1
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- Can a local model be used without requesting the Hugging Face API? HOT 3
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- Audio input captures only the first channel HOT 1
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