Instructions to use MignonMiyoung/RankCoT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MignonMiyoung/RankCoT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "MignonMiyoung/RankCoT") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag, paper link, code repository and license
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
question-answeringpipeline tag. - Linking the model card to the paper RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts.
- Adding a link to the code repository.
- Adding the MIT license.