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
Commit History
8 days ago
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Add pipeline tag and paper link (#1)
- Add pipeline tag and paper link (485b989b52cbb9f8fe5cb79ce48aca4ba14fc42e) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>5b7ea94
9 days ago
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Update README
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Fix typo in README
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Remove stray __pycache__ file
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Upload folder using huggingface_hub
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initial commit
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