You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Model: kotoba-tech/kotoba-whisper-v2.0-faster
Device: CUDA
Compute Type: float16
OS: Windows
faster-whisper version: 8327d8cc647266ed66f6cd878cf97eccface7351
Description
When attempting to generate word timestamps using the faster-whisper model, the process crashes with an access violation error (exit code -1073741819/0xC0000005).
Reproduction
from faster_whisper import WhisperModel
model = WhisperModel("kotoba-tech/kotoba-whisper-v2.0-faster", device='cuda', compute_type='float16', num_workers=1)
segments, info = model.transcribe("output.mp3",
language="ja", chunk_length=15, condition_on_previous_text=False, vad_filter=True, word_timestamps=True)
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
Error Details
Exit Code: -1073741819 (0xC0000005)
Error Location: The crash occurs in the alignment phase at transcribe.py#L1654
The error code (0xC0000005) indicates an access violation, which typically occurs when a program tries to read or write to memory that it doesn't have permission to access.
The issue appears to be related to either the model itself or the model conversion phase, as the crash happens during the alignment process.
I used the officially provided distilled model distil-large-v3 to generate word timestamps, and it worked.
The text was updated successfully, but these errors were encountered:
Environment
Model: kotoba-tech/kotoba-whisper-v2.0-faster
Device: CUDA
Compute Type: float16
OS: Windows
faster-whisper version: 8327d8cc647266ed66f6cd878cf97eccface7351
Description
When attempting to generate word timestamps using the faster-whisper model, the process crashes with an access violation error (exit code -1073741819/0xC0000005).
Reproduction
Error Details
Exit Code: -1073741819 (0xC0000005)
Error Location: The crash occurs in the alignment phase at transcribe.py#L1654
Additional Context
distil-large-v3
to generate word timestamps, and it worked.The text was updated successfully, but these errors were encountered: