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Whisper encoder + No 30 second padding #5
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farzadab
commented
Jun 4, 2024
juberti
approved these changes
Jun 4, 2024
akshat0311
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Jan 30, 2025
* enable whisper model (no need for max_padding) * bugfix: boolq_in didn't have audio_transcript -> use _get_transcribe_sample * bugfix: move model to device before merging lora weights * rename modified_whisper -> whisper_model_modified
zqhuang211
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Feb 12, 2025
* LSM training * use WavTokenizer directly instead of CustomWavTokenizer
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This PR enables Whisper model for training and inference, without the need for full 30 second padding.
I verified that the inference works with: