Instructions to use Interplay-LM-Reasoning/extrapolation_rl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Interplay-LM-Reasoning/extrapolation_rl with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Interplay-LM-Reasoning/extrapolation_rl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag and GitHub link
#1
by nielsr HF Staff - opened
This PR updates the model card for the paper "On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models".
It adds the pipeline_tag: text-generation to the metadata, which helps with discoverability and categorization on the Hugging Face Hub. It also includes an explicit link to the GitHub repository for easy access to the project's code.
Clockz changed pull request status to merged