Instructions to use ethz-spylab/Llama-3.1-8B-Instruct_refuse_math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethz-spylab/Llama-3.1-8B-Instruct_refuse_math with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ethz-spylab/Llama-3.1-8B-Instruct_refuse_math", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, link to code and paper, and citation
#1
by nielsr HF Staff - opened
This PR adds the relevant pipeline_tag, ensuring people can find your model at https://huggingface.co/models?pipeline_tag=text-generation.
It also adds a link to the Github repository and paper, enabling people to find it easier. It also adds the BibTeX citation.