Instructions to use le723z/Rearank-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use le723z/Rearank-7B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("le723z/Rearank-7B") model = AutoModelForCausalLM.from_pretrained("le723z/Rearank-7B") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library name
#1
by nielsr HF Staff - opened
This PR ensures the model can be found at https://huggingface.co/papers/2505.20046 as well as at https://huggingface.co/models?pipeline_tag=text-ranking&sort=trending.
It adds the library_name to the metadata.
le723z changed pull request status to merged