Instructions to use XinyuGuan/CICL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use XinyuGuan/CICL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "XinyuGuan/CICL") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and links to paper and code
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team.
I've opened this PR to improve the model card for this artifact. Specifically, I've:
- Added the
pipeline_tag: text-rankingto the metadata to improve discoverability. - Added a link to the associated paper: Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents.
- Included a link to the official GitHub repository.
- Maintained the existing technical documentation and code snippets.
This will help users better understand the research context of this adapter and how to use it within the CICL framework.