SpeakerDiarization in offline mode can't work

[maxoo1001]

When I use the SpeakerDiarization feature offline, I find that version 3.1 runs very slowly, and there are frequent memory errors. Thus, I am considering switching to the 2.0 yaml. However, during use, I noticed that the directory structure is quite different from 3.0. I have already referred to issues #1427 and #1294, but I still encounter errors. Could you help me identify the problem?

directory:

D:\Code\models\pyannote\config.yaml
D:\Code\models\pyannote\models--pyannote--segmentation
D:\Code\models\pyannote\speechbrain\spkrec-ecapa-voxceleb

D:\Code\models\pyannote\config.yaml

pipeline:
name: pyannote.audio.pipelines.SpeakerDiarization
params:
clustering: AgglomerativeClustering
embedding: D:/Code/models/pyannote2/speechbrain/spkrec-ecapa-voxceleb
embedding_batch_size: 32
embedding_exclude_overlap: true
segmentation: D:/Code/models/pyannote2/models--pyannote--segmentation/pytorch_model.bin
segmentation_batch_size: 32

D:\Code\models\pyannote\speechbrain\spkrec-ecapa-voxceleb\hyperparams.yaml

#Pretrain folder (HuggingFace)
pretrained_path: D:/Code/models/pyannote2/speechbrain/spkrec-ecapa-voxceleb

error

File "D:\conda_env\envs\py\lib\site-packages\pyannote\audio\core\pipeline.py", line 136, in from_pretrained
pipeline = Klass(**params)
File "D:\conda_env\envs\py\lib\site-packages\pyannote\audio\pipelines\speaker_diarization.py", line 169, in init
self.embedding = PretrainedSpeakerEmbedding(
File "D:\conda_env\envs\py\lib\site-packages\pyannote\audio\pipelines\speaker_verification.py", line 749, in PretrainedSpeakerEmbedding
return PyannoteAudioPretrainedSpeakerEmbedding(
File "D:\conda_env\envs\py\lib\site-packages\pyannote\audio\pipelines\speaker_verification.py", line 655, in init
self.model: Model = get_model(self.embedding, use_auth_token=use_auth_token)
File "D:\conda_env\envs\py\lib\site-packages\pyannote\audio\pipelines\utils\getter.py", line 75, in get_model
model = Model.from_pretrained(
File "D:\conda_env\envs\py\lib\site-packages\pyannote\audio\core\model.py", line 624, in from_pretrained
path_for_pl = hf_hub_download(
File "D:\conda_env\envs\py\lib\site-packages\huggingface_hub\utils_validators.py", line 110, in _inner_fn
validate_repo_id(arg_value)
File "D:\conda_env\envs\py\lib\site-packages\huggingface_hub\utils_validators.py", line 158, in validate_repo_id
raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'D:/Code/models/pyannote2/speechbrain/spkrec-ecapa-voxceleb'. Use repo_type argument if needed.

[github-actions]

Thank you for your issue.You might want to check the FAQ if you haven't done so already.

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[maxoo1001]

Solved... It was a path issue.

[WhXmURandom]

Solved... It was a path issue.

Hello, I also encountered the same issue. May I ask how you resolved it?

[wwfcnu]

Solved... It was a path issue.

请问你是怎么解决的

[wwfcnu]

Solved... It was a path issue.

Hello, I also encountered the same issue. May I ask how you resolved it?

你解决了这个问题吗

[wwfcnu]

Solved... It was a path issue.

还需要修改哪里的路径呢