Comments (4)
Also note that the result of
let folder = try await WhisperKit.load(variant: model, from: repoName, progressCallback: { progress in
...
}
will be the exact url of the folder where the models are contained. In order to delete the entire folder, you may want to use something like this:
FileManager.default.removeItem(at: folder)
If that doesn't help then try to check the error that removeItem
returns to see if it's telling you anything.
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@ZachNagengast curious why is there a fallback option pointed to "base model" in the framework
I found this in WhisperKit class
self.modelFolder = URL(filePath: "openai_whisperkit-base")
I wish this could be null because user already has the UI to select to which model they want to load (by default it could be none)
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Could you share more details? Is this when you are doing make download-models
?
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FYI modelFolder is a now an optional, but we also have a default recommended model depending on hardware type.
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Related Issues (20)
- Issue with languages other than English HOT 13
- Indeterminate visionOS tests HOT 3
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- Clarify the translation capabilities in sample App
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- How to use custom prompts? Couldn't find the usage from the examples. HOT 2
- English text normalization utilization for Eager Streaming Mode HOT 1
- @atiorh Today, I tested the latest version of the WhisperAX app consistently crashes when loading the 'openai_whisper-large-v3_947MB' file. HOT 1
- Implement test data-driven `unsupportedModelDeviceCombination` at init
- Standard output while processing. HOT 4
- Can a local model be used without requesting the Hugging Face API? HOT 3
- How do I use a parameter like initial_prompt in Python's Whisper? HOT 1
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