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  Enformer model. It was introduced in the paper [Effective gene expression prediction from sequence by integrating long-range interactions.](https://arxiv.org/abs/2010.11929) by Avsec et al. and first released in [this repository](https://github.com/deepmind/deepmind-research/tree/master/enformer).
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- This particular model was trained on sequences of 131,072 baespairs, target length 896 on v3-64 TPUs for 3 days with sequence augmentations and pearson correlation objective.
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  This repo contains the weights of the PyTorch implementation by Phil Wang as seen in the [enformer-pytorch repository](https://github.com/lucidrains/enformer-pytorch).
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  Enformer model. It was introduced in the paper [Effective gene expression prediction from sequence by integrating long-range interactions.](https://arxiv.org/abs/2010.11929) by Avsec et al. and first released in [this repository](https://github.com/deepmind/deepmind-research/tree/master/enformer).
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+ This particular model was trained on sequences of 131,072 basepairs, target length 896 on v3-64 TPUs for 3 days with sequence augmentations and pearson correlation objective.
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  This repo contains the weights of the PyTorch implementation by Phil Wang as seen in the [enformer-pytorch repository](https://github.com/lucidrains/enformer-pytorch).
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