Text Classification
Transformers
lora
fine-tuning
adaptive
research
nested-lora
synaptic-plasticity
rank-adaptation
Instructions to use Simo76/Unified-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Simo76/Unified-LoRA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Simo76/Unified-LoRA")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Simo76/Unified-LoRA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| """ | |
| Legacy Adaptive LoRA (Deprecated) | |
| ================================ | |
| Early gradient-based adaptive rank prototype. | |
| Replaced by: | |
| - NestedLoRA (shared orbital architecture) | |
| - OrbitalController (stress-based closed-loop control) | |
| This file is kept for reference only. | |
| Status: deprecated | |
| """ | |