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I want to use sparseml to sparcify openai/whisper models, starting with tiny and small models. Being able to run whisper on CPU is critical to its widespread usage, see e.g. whisper-openvino.
This is Speach Recognition - sequence to sequence, and AFAIK this domain is still not adapted for sparseml.
I guess I should adapt run_speech_recognition_seq2seq.py. But not sure how. Is there any documentation/guidlines on how to adapt a new domain to sparseml, please?
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I want to use sparseml to sparcify
openai/whispermodels, starting with tiny and small models. Being able to runwhisperon CPU is critical to its widespread usage, see e.g. whisper-openvino.This is Speach Recognition - sequence to sequence, and AFAIK this domain is still not adapted for
sparseml.I guess I should adapt run_speech_recognition_seq2seq.py. But not sure how. Is there any documentation/guidlines on how to adapt a new domain to
sparseml, please?Beta Was this translation helpful? Give feedback.
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