Error

[Zafkieldark]

Lightning automatically upgraded your loaded checkpoint from v1.5.4 to v2.0.4. To apply the upgrade to your files permanently, run python -m pytorch_lightning.utilities.upgrade_checkpoint --file C:\Users\zafki\.cache\torch\pyannote\models--pyannote--segmentation\snapshots\c4c8ceafcbb3a7a280c2d357aee9fbc9b0be7f9b\pytorch_model.bin Model was trained with pyannote.audio 0.0.1, yours is 2.1.1. Bad things might happen unless you revert pyannote.audio to 0.x. Model was trained with torch 1.10.0+cu102, yours is 2.0.0+cu118. Bad things might happen unless you revert torch to 1.x. Traceback (most recent call last): File "\?\D:\Work\Voice_Changer_OpenSorce\WhisperX_AudioSpliter\audiosplitter_whisper\venv\Scripts\whisperx-script.py", line 33, in sys.exit(load_entry_point('whisperx==3.1.1', 'console_scripts', 'whisperx')()) File "D:\Work\Voice_Changer_OpenSorce\WhisperX_AudioSpliter\audiosplitter_whisper\venv\lib\site-packages\whisperx\transcribe.py", line 203, in cli diarize_model = DiarizationPipeline(use_auth_token=hf_token, device=device) File "D:\Work\Voice_Changer_OpenSorce\WhisperX_AudioSpliter\audiosplitter_whisper\venv\lib\site-packages\whisperx\diarize.py", line 16, in init self.model = Pipeline.from_pretrained(model_name, use_auth_token=use_auth_token).to(device) File "D:\Work\Voice_Changer_OpenSorce\WhisperX_AudioSpliter\audiosplitter_whisper\venv\lib\site-packages\pyannote\audio\core\pipeline.py", line 135, in from_pretrained pipeline = Klass(**params) File "D:\Work\Voice_Changer_OpenSorce\WhisperX_AudioSpliter\audiosplitter_whisper\venv\lib\site-packages\pyannote\audio\pipelines\speaker_diarization.py", line 165, in init self._embedding = PretrainedSpeakerEmbedding( File "D:\Work\Voice_Changer_OpenSorce\WhisperX_AudioSpliter\audiosplitter_whisper\venv\lib\site-packages\pyannote\audio\pipelines\speaker_verification.py", line 490, in PretrainedSpeakerEmbedding File "D:\Work\Voice_Changer_OpenSorce\WhisperX_AudioSpliter\audiosplitter_whisper\venv\lib\site-packages\pyannote\audio\pipelines\speakerverification.py", line 249, in init self.classifier = SpeechBrain_EncoderClassifier.from_hparams( File "D:\Work\Voice_Changer_OpenSorce\WhisperX_AudioSpliter\audiosplitter_whisper\venv\lib\site-packages\speechbrain\pretrained\interfaces.py", line 367, in from_hparams hparams_local_path = fetch( File "D:\Work\Voice_Changer_OpenSorce\WhisperX_AudioSpliter\audiosplitter_whisper\venv\lib\site-packages\speechbrain\pretrained\fetching.py", line 135, in fetch destination.symlink_to(sourcepath) File "D:\Work\Python and Pycharm\Python-3.10.6\lib\pathlib.py", line 1255, in symlink_to self._accessor.symlink(target, self, target_is_directory) OSError: [WinError 1314] Клиент не обладает требуемыми правами: 'C:\Users\zafki\.cache\huggingface\hub\models--speechbrain--spkrec-ecapa-voxceleb\snapshots\5c0be3875fda05e81f3c004ed8c7c06be308de1e\hyperparams.yaml' -> 'C:\Users\zafki\.cache\torch\pyannote\speechbrain\hyperparams.yaml'

[djexskelember]

(Клиент не обладает требуемыми правами) translates to The client does not have the required rights. so imma ask did you run "Set-ExecutionPolicy RemoteSigned" in powershell(administrator) and is your visual studio code ran as administrator?

[JarodMica]

Was this issue resolved? Not having the required rights could also be related to not accepting the hugging face agreements and applying a valid hugging face token.