Instructions to use ctheodoris/Geneformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctheodoris/Geneformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ctheodoris/Geneformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ctheodoris/Geneformer") model = AutoModelForMaskedLM.from_pretrained("ctheodoris/Geneformer", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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- extracting and plotting cell embeddings
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- in silico perturbation
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Please also see [
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Complete documentation is available at https://geneformer.readthedocs.io/en/latest/.
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# Citations
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- C V Theodoris#, L Xiao, A Chopra, M D Chaffin, Z R Al Sayed, M C Hill, H Mantineo, E Brydon, Z Zeng, X S Liu, P T Ellinor#. Transfer learning enables predictions in network biology. _**Nature**_, 31 May 2023. (#co-corresponding authors)
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- H Chen*, M S Venkatesh*, J Gomez Ortega, S V Mahesh, T Nandi, R Madduri, K Pelka†, C V Theodoris†#. Scaling and quantization of large-scale foundation model enables resource-efficient predictions in network biology. _**Nature Computational Science**_, 27 Mar 2026. (*co-first authors, †co-senior authors, #corresponding author)
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- extracting and plotting cell embeddings
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- in silico perturbation
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Please also see [our protocol paper](http://rdcu.be/ffApo) and [tutorial](https://tinyurl.com/geneformertutorial) for predicting candidate therapeutic targets with Geneformer.
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Complete documentation is available at https://geneformer.readthedocs.io/en/latest/.
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# Citations
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- C V Theodoris#, L Xiao, A Chopra, M D Chaffin, Z R Al Sayed, M C Hill, H Mantineo, E Brydon, Z Zeng, X S Liu, P T Ellinor#. Transfer learning enables predictions in network biology. _**Nature**_, 31 May 2023. (#co-corresponding authors)
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- H Chen*, M S Venkatesh*, J Gomez Ortega, S V Mahesh, T Nandi, R Madduri, K Pelka†, C V Theodoris†#. Scaling and quantization of large-scale foundation model enables resource-efficient predictions in network biology. _**Nature Computational Science**_, 27 Mar 2026. (*co-first authors, †co-senior authors, #corresponding author)
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- Y Zhang, M S Venkatesh, and C V Theodoris. Discovery of candidate therapeutic targets with Geneformer. _**Nature Protocols**_, 23 Apr 2026.
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