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  - model_hub_mixin
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  - pytorch_model_hub_mixin
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- This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- - Library: your-repo-url
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- - Docs: [More Information Needed]
 
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  - model_hub_mixin
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  ---
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+ ---
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+ # segment-enformer
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+ SegmentEnformer is a segmentation model leveraging [Enformer](https://www.nature.com/articles/s41592-021-01252-x) DNA foundation model to predict the location of several types of genomics
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+ elements in a sequence at a single nucleotide resolution. It was trained on 14 different classes, including gene (protein-coding genes, lncRNAs, 5’UTR, 3’UTR, exon, intron, splice acceptor and donor sites) and regulatory (polyA signal, tissue-invariant and
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+ tissue-specific promoters and enhancers, and CTCF-bound sites) elements.
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+ **Developed by:** [InstaDeep](https://huggingface.co/InstaDeepAI)