Instructions to use pantoniadis/RAGenome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pantoniadis/RAGenome with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pantoniadis/RAGenome", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pantoniadis/RAGenome", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and paper link
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag: feature-extraction metadata so the model is properly categorized and discoverable on the Hub, and includes a link to the paper page in the model card content. The existing README content and usage example are preserved.
Thanks for the PR. I will merge it :)
pantoniadis changed pull request status to merged