Instructions to use kevin09UW/Rad_topic_modeling-ipynb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevin09UW/Rad_topic_modeling-ipynb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kevin09UW/Rad_topic_modeling-ipynb")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kevin09UW/Rad_topic_modeling-ipynb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
NCI All Topics Research Funding Research @ UW The project is headed by Professor John Kang Research team members: Kevin Lee
This project is committed to the analysis of NCI R type funding using an abstract from NCI 2013-2021. We are using PubMedBERT for embedding, and periodically saving pickle files to ensure data integrity. The research objective is to inform stakeholders of how contributed resources are being utilized in cancer research and which topics are more heavily emphasized or biased toward.