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I have been unable to convert the model
Regardless of whether I have tried with or without quantization, or different models - unfortunately, I have had no success.
192:faster-whisper$ ct2-transformers-converter --model openai/whisper-tiny.en --output_dir output Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1.92k/1.92k [00:00<00:00, 486kB/s] Downloading: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 151M/151M [00:04<00:00, 37.2MB/s] Segmentation fault: 11 192:faster-whisper$ /usr/local/Cellar/[email protected]/3.9.16/Frameworks/Python.framework/Versions/3.9/lib/python3.9/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d '
^^ this one just freezes
I have been unable to convert the model
Regardless of whether I have tried with or without quantization, or different models - unfortunately, I have had no success.
192:faster-whisper$ ct2-transformers-converter --model openai/whisper-small --output_dir output
Segmentation fault: 11
192:faster-whisper$ ct2-transformers-converter --model openai/whisper-tiny --output_dir output
Segmentation fault: 11
192:faster-whisper$ ct2-transformers-converter --model openai/whisper-tiny.en --output_dir output Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 1.92k/1.92k [00:00<00:00, 486kB/s] Downloading: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 151M/151M [00:04<00:00, 37.2MB/s] Segmentation fault: 11 192:faster-whisper$ /usr/local/Cellar/[email protected]/3.9.16/Frameworks/Python.framework/Versions/3.9/lib/python3.9/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown warnings.warn('resource_tracker: There appear to be %d '
^^ this one just freezes
192:faster-whisper$ ct2-transformers-converter --model openai/whisper-tiny --output_dir output --quantization float16
Segmentation fault: 11
192:faster-whisper$ ct2-transformers-converter --model openai/whisper-small --output_dir output --quantization float16
Segmentation fault: 11
192:faster-whisper$ ct2-transformers-converter --model openai/whisper-tiny.en --output_dir output --quantization float16
Segmentation fault: 11
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