Instructions to use arda-argmax/sortformer-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use arda-argmax/sortformer-finetuned with NeMo:
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- Notebooks
- Google Colab
- Kaggle
Init run 6spk-v0.6-fastmss-prepared-shar-bs10-a100-80gb-2gpu-debug-debug-v1-1780602245
ce12106 verified | library_name: nemo | |
| tags: | |
| - sortformer | |
| - speaker-diarization | |
| - automatic-speech-recognition | |
| # 6spk-v0.6-fastmss-prepared-shar-bs10-a100-80gb-2gpu-debug-debug-v1-1780602245 | |
| Sortformer fine-tuning run, hosted under [arda-argmax/sortformer-finetuned](https://huggingface.co/arda-argmax/sortformer-finetuned). | |
| ## Best checkpoint | |
| - **monitor**: `val_der` (min) | |
| Files: | |
| - `best.nemo` — full NeMo checkpoint (config + weights), restorable via `SortformerEncLabelModel.restore_from('best.nemo')` | |
| - `best.json` — machine-readable metadata for the best checkpoint | |
| - `checkpoints/step_*_epoch_*_*.nemo` — archived copies of every checkpoint that became the best during training | |
| - `config.yaml` — Hydra config the run was launched with | |
| ## Run info | |
| - started: `2026-06-04T19:44:49Z` | |
| - live dashboard: [arda-argmax/sortformer-trackio-v2](arda-argmax/sortformer-trackio-v2) | |