Feature Extraction
Transformers
Joblib
Safetensors
MOJO
bulk RNA-seq
DNA methylation
biology
transcriptomics
epigenomics
multimodal
custom_code
Instructions to use InstaDeepAI/MOJO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/MOJO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="InstaDeepAI/MOJO", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InstaDeepAI/MOJO", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- [**Repository**](https://github.com/instadeepai/multiomics-open-research)
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- **Paper:** [Bimodal masked language modeling for bulk RNA-seq and DNA methylation
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representation learning]()
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### How to use
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### Citing our work
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```
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```
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- [**Repository**](https://github.com/instadeepai/multiomics-open-research)
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- **Paper:** [Bimodal masked language modeling for bulk RNA-seq and DNA methylation
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representation learning](https://www.biorxiv.org/content/10.1101/2025.06.25.661237v1)
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### How to use
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### Citing our work
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```
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@article {G{\'e}lard2025.06.25.661237,
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author = {G{\'e}lard, Maxence and Benkirane, Hakim and Pierrot, Thomas and Richard, Guillaume and Courn{\`e}de, Paul-Henry},
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title = {Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learning},
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elocation-id = {2025.06.25.661237},
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year = {2025},
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doi = {10.1101/2025.06.25.661237},
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publisher = {Cold Spring Harbor Laboratory},
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URL = {https://www.biorxiv.org/content/early/2025/06/27/2025.06.25.661237},
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journal = {bioRxiv}
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}
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```
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