Loaded Faster-Whisper large-v2 model
Traceback (most recent call last):
File "/home/anonymous/anaconda3/envs/stable-ts/bin/stable-ts", line 8, in
sys.exit(cli())
File "/home/anonymous/anaconda3/envs/stable-ts/lib/python3.10/site-packages/stable_whisper/whisper_word_level.py", line 1606, in cli
transcribe_method = getattr(model, transcribe_method)
AttributeError: 'WhisperModel' object has no attribute 'transcribe_minimal'
it works as expected without -fw . is this a bug? is this the expected outcome? is there anything I can do to make these work together?
That is expected. There is only one transcription method supported for faster-whisper models and it is equivalent to transcribe_minimal() on the normal models (i.e. both are wrappers for transcribe_any()).
Loaded Faster-Whisper large-v2 model
sys.exit(cli())
File "/home/anonymous/anaconda3/envs/stable-ts/lib/python3.10/site-packages/stable_whisper/whisper_word_level.py", line 1606, in cli
transcribe_method = getattr(model, transcribe_method)
AttributeError: 'WhisperModel' object has no attribute 'transcribe_minimal'
Traceback (most recent call last): File "/home/anonymous/anaconda3/envs/stable-ts/bin/stable-ts", line 8, in
it works as expected without -fw . is this a bug? is this the expected outcome? is there anything I can do to make these work together?