| base_model: pyannote/embedding | |
| datasets: | |
| - voxceleb | |
| extra_gated_fields: | |
| Company/university: text | |
| I plan to use this model for (task, type of audio data, etc): text | |
| Website: text | |
| extra_gated_prompt: The collected information will help acquire a better knowledge | |
| of pyannote.audio userbase and help its maintainers apply for grants to improve | |
| it further. If you are an academic researcher, please cite the relevant papers in | |
| your own publications using the model. If you work for a company, please consider | |
| contributing back to pyannote.audio development (e.g. through unrestricted gifts). | |
| We also provide scientific consulting services around speaker diarization and machine | |
| listening. | |
| inference: false | |
| license: mit | |
| tags: | |
| - pyannote | |
| - pyannote-audio | |
| - pyannote-audio-model | |
| - audio | |
| - voice | |
| - speech | |
| - speaker | |
| - speaker-recognition | |
| - speaker-verification | |
| - speaker-identification | |
| - speaker-embedding | |
| - onnx | |
| This is the ONNX exported version of [pyannote/embedding](https://huggingface.co/pyannote/embedding). | |