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Currently, this is not compatible with the latest huggingface transformers library, since it calls some internal methods that have either changed or where removed.
Hi @Sharrnah and @dinhduongnguyen,
Thank you for your interest in our work!
To use whisper-medusa you should follow the installation steps in the README file. The supported version of transformers is specified in the requirements.txt file. Specifically, the supported version is transformers==4.39.0.
Hi @Sharrnah and @dinhduongnguyen, Thank you for your interest in our work! To use whisper-medusa you should follow the installation steps in the README file. The supported version of transformers is specified in the requirements.txt file. Specifically, the supported version is transformers==4.39.0.
I am aware of that. But its always good to support the newest version if possible. There are different reasons why someone might want to use this together with a newer transformers version.
For example someone might want to use it together with another library that got updated to support the newest transformers library. Or someone might want to use an AI model that only got support in a more recent transformers version.
As it is now, i prefer to remove whisper medusa support alltogether before downgrading transformers.
Currently, this is not compatible with the latest huggingface transformers library, since it calls some internal methods that have either changed or where removed.
tested with transformers v4.44.0
in the model.py file,
where the
is_shortform
argument got removed.gets called, but the method
_set_token_ids
doesn't exist anymore.There might be other incompatibilities.
this should be updated to be compatible with the latest transformers version.
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