hbredin

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wespeaker-voxceleb-resnet34-LM

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For pyannote/speaker-diarization-3.0, the configuration file includes embedding: hbredin/wespeaker-voxceleb-resnet34-LM, which indicates that the mode belongs to WeSpeakerPretrainedSpeakerEmbedding.

However, if one wish to deploy the model offline, the name speaker-embedding.onnx will confuse the function PretrainedSpeakerEmbedding in pyannote/audio/pipelines/speaker_verification.py and leads it to return PyannoteAudioPretrainedSpeakerEmbedding, which is designed to load pytorch model instead of onnx model.

It might be better to include wespeaker in the model's name.