Instructions to use zihan-audio/AutoAEG_ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zihan-audio/AutoAEG_ckpt with PEFT:
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- Notebooks
- Google Colab
- Kaggle
AutoAEG checkpoints
Minimal PEFT checkpoint assets for the current AutoAEG experimental chain:
checkpoints/sft10k_v3_final/: final SFT adapter trained from scratch onsft10k_v3.checkpoints/rms_span_final/: final improved structured-IoU + RMS/span GRPO adapter initialized from that SFT.checkpoints/cls_span_latest/: latest improved structured-IoU + CLS/span GRPO adapter, global step 1300, initialized from the same SFT.training_aux/reference_lora.ptis the fixed KL reference adapter needed to continue GRPO;training_aux/class_templates.pklis the CLS reward template cache.
The base Qwen model is not included. Load the corresponding base model first, then attach the selected PEFT adapter. Optimizer, scheduler, RNG, and distributed-training shards are intentionally excluded. Exact source paths, steps, sizes, SHA-256 digests, and tensor counts are recorded in CHECKPOINT_MANIFEST.json.
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