Instructions to use rlhn/Qwen2.5-7B-default-400K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rlhn/Qwen2.5-7B-default-400K with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rlhn/Qwen2.5-7B-default-400K", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, license, and links to paper and code
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag: text-ranking and library_name: transformers.
It also adds the license mit and links to the paper Fixing Data That Hurts Performance: Cascading LLMs to Relabel Hard Negatives for Robust Information Retrieval and the Github repository (https://github.com/luo-junyu/rlhn).