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以下是faster-whisper报错日志信息
`None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
torchvision is not available - cannot save figures
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
使用的版本号 0.8.1
转写时实时日志框一直不动
以下是faster-whisper报错日志信息
`None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
torchvision is not available - cannot save figures
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
faster_whisper_GUI: 0.8.1
==========2024-09-17_17:23:29==========
==========Start==========
current computer language region-format: zh_CN
language: zh
==========2024-09-17_17:24:54==========
==========LoadModel==========
Load over
I:/CheshireCC-faster-whisper-large-v3-float32
max_length: 448
num_samples_per_token: 320
time_precision: 0.02
tokens_per_second: 50
input_stride: 2
[Using V3 model, modify number of mel-filters to 128]
==========2024-09-17_17:25:30==========
==========Process==========
redirect std output
vad_filter : True
-threshold : 0.2
-min_speech_duration_ms : 250
-max_speech_duration_s : inf
-min_silence_duration_ms : 2000
-speech_pad_ms : 800
Transcribes options:
-audio : ['J:/vocals.wav']
-language : ja
-task : False
-beam_size : 1
-best_of : 5
-patience : 1.0
-length_penalty : 1.0
-temperature : [0.0, 0.2, 0.4, 0.6, 0.8, 1.0]
-compression_ratio_threshold : 1.4
-log_prob_threshold : -10.0
-no_speech_threshold : 0.9
-condition_on_previous_text : False
-initial_prompt : None
-prefix : None
-suppress_blank : True
-suppress_tokens : [-1]
-without_timestamps : False
-max_initial_timestamp : 1.0
-word_timestamps : True
-prepend_punctuations : "'“¿([{-
-append_punctuations : "'.。,,!!??::”)]}、
-repetition_penalty : 1.0
-no_repeat_ngram_size : 0
-prompt_reset_on_temperature : 0.5
-max_new_tokens : None
-chunk_length : 30.0
-clip_mode : 0
-clip_timestamps : 0
-hallucination_silence_threshold : 0.5
-hotwords :
-language_detection_threshold : None
-language_detection_segments : 1
create transcribe process with 1 workers
start transcribe process
Traceback (most recent call last):
File "C:\RJ\FASTER
1\faster_whisper_GUI\transcribe.py", line 369, in run1\concurrent\futures_base.py", line 621, in result_iteratorFile "C:\RJ\FASTER
File "C:\RJ\FASTER
1\concurrent\futures_base.py", line 319, in _result_or_cancel1\concurrent\futures_base.py", line 458, in resultFile "C:\RJ\FASTER
File "C:\RJ\FASTER
1\concurrent\futures_base.py", line 403, in __get_result1\concurrent\futures\thread.py", line 58, in runFile "C:\RJ\FASTER
File "C:\RJ\FASTER
1\faster_whisper_GUI\transcribe.py", line 279, in transcribe_file1\faster_whisper\transcribe.py", line 1189, in restore_speech_timestampsFile "C:\RJ\FASTER
File "C:\RJ\FASTER
1\faster_whisper\transcribe.py", line 587, in generate_segments1\faster_whisper\transcribe.py", line 838, in encodeFile "C:\RJ\FASTER
RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device
`
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