Instructions to use chs35/improving-ca-lora-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
Replace the trained adapters with the few-shot (10-image) experiment
Browse filesAll 10 arms x 5 checkpoints retrained on 10 randomly drawn Cityscapes train images (seed 0). The earlier full-data adapters remain at revision db005e2c124b6666c27b8a788cd5a1f6c1f3f080. The module-granularity pilot is unchanged.
This view is limited to 50 files because it contains too many changes. See raw diff
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