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Simo76
/
Unified-LoRA

Text Classification
Transformers
lora
fine-tuning
adaptive
research
nested-lora
synaptic-plasticity
rank-adaptation
Model card Files Files and versions
xet
Community
2

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
Unified-LoRA
52.6 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 80 commits
Simo76's picture
Simo76
Update README.md
5ccbada verified about 1 month ago
  • docs
    Revise experimental results documentation about 1 month ago
  • experiments
    Refactor stress test to use Orbital Controller about 1 month ago
  • notebooks
    Update MRPC example notebook with new code cells about 1 month ago
  • .gitignore
    1.89 kB
    Refactor .gitignore to organize sections and entries about 1 month ago
  • LICENSE
    11.4 kB
    Initial commit 5 months ago
  • README.md
    2.45 kB
    Update README.md about 1 month ago
  • controller.py
    1.22 kB
    Update controller.py about 1 month ago
  • nested_lora.py
    4.36 kB
    Implement Nested LoRA architecture for dynamic rank control about 1 month ago
  • orbital_controller.py
    9.52 kB
    Add OrbitalController for adaptive trajectory control about 1 month ago
  • requirements.txt
    61 Bytes
    Add required packages for the project about 2 months ago
  • unified_lora.py
    293 Bytes
    Update unified_lora.py about 1 month ago