Instructions to use UofTCSSLab/SIREN-Llama-3.2-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UofTCSSLab/SIREN-Llama-3.2-1B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UofTCSSLab/SIREN-Llama-3.2-1B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and improve model card metadata
#1
by nielsr HF Staff - opened
Hi, I'm Niels from the Hugging Face community team.
This PR improves the model card by:
- Adding the
pipeline_tag: text-classificationto the YAML metadata to ensure the model is correctly categorized on the Hub. - Removing the
library_name: transformerstag, as this model uses a specialized runtime (llm-siren) rather than standard Transformers classes for inference. - Adding explicit links to the research paper and the official GitHub repository for easier access to the source code and methodology.