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enformer-preview
EleutherAI/enformer-preview
enformer-preview is a machine learning model from EleutherAI. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Enformer model. It was introduced in the paper Effective gene expression prediction from sequence by integrating long-range interactions. by Avsec et al. and first released in this repository.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- enformer
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 23, 2022
- SHA
- 771e52f1
Model card
From the Hugging Face model README
Enformer
Enformer model. It was introduced in the paper Effective gene expression prediction from sequence by integrating long-range interactions. by Avsec et al. and first released in this repository.
This particular model was trained on sequences of 131,072 basepairs, target length 896 on v3-64 TPUs for 2 and a half days without augmentations and poisson loss.
This repo contains the weights of the PyTorch implementation by Phil Wang as seen in the enformer-pytorch repository.
Disclaimer: The team releasing Enformer did not write a model card for this model so this model card has been written by the Hugging Face team.
Model description
Enformer is a neural network architecture based on the Transformer that led to greatly increased accuracy in predicting gene expression from DNA sequence.
We refer to the paper published in Nature for details.
How to use
Refer to the README of enformer-pytorch regarding usage.
Citation info
Avsec, Ž., Agarwal, V., Visentin, D. et al. Effective gene expression prediction from sequence by integrating long-range interactions. Nat Methods 18, 1196–1203 (2021). https://doi.org/10.1038/s41592-021-01252-x
- Library
- transformers
- Type
- enformer
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Feb 23, 2022