Text Classification
PEFT
Safetensors
English
lora
complexity-classification
llm-routing
query-difficulty
brick
semantic-router
inference-optimization
cost-reduction
reasoning-budget
Instructions to use regolo/brick-complexity-2-eco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use regolo/brick-complexity-2-eco with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "regolo/brick-complexity-2-eco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d918654ca3cb263b0a92fc38824b76e02457320421f4f70b66cdb9c26230dbc
- Size of remote file:
- 20 MB
- SHA256:
- e9701f3f476eb8b5de4b88f21b937e7d0089156a143646261758b82d9200cd95
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