Instructions to use Interplay-LM-Reasoning/extrapolation_midtrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Interplay-LM-Reasoning/extrapolation_midtrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Interplay-LM-Reasoning/extrapolation_midtrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag, GitHub link, and improved model description
Verified signatureThis PR enhances the model card by: - Adding `pipeline_tag: text-generation` to the metadata, which helps users discover the model on the Hugging Face Hub under the relevant pipeline. - Including a direct link to the GitHub repository for easier access to the codebase. - Significantly improving the model's description by incorporating key information, overview, and findings from the paper's GitHub README, providing a richer context for the research. Please review and merge this PR if these improvements are satisfactory.f61361a
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