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  A language model for peptide representation learning using **HELM (Hierarchical Editing Language for Macromolecules)** notation.
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  ## Model Description
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  HELM-BERT is built upon the DeBERTa architecture, designed for peptide sequences in HELM notation:
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  - **Span Masking**: Contiguous token masking with geometric distribution
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  - **nGiE**: n-gram Induced Encoding layer (1D convolution, kernel size 3)
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- Please check the [official repository](https://github.com/clinfo/HELM-BERT) for more implementation details and updates.
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  ## Model Specifications
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  | Parameter | Value |
 
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  A language model for peptide representation learning using **HELM (Hierarchical Editing Language for Macromolecules)** notation.
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+ [![GitHub](https://img.shields.io/badge/GitHub-clinfo%2FHELM--BERT-black?logo=github)](https://github.com/clinfo/HELM-BERT)
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  ## Model Description
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  HELM-BERT is built upon the DeBERTa architecture, designed for peptide sequences in HELM notation:
 
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  - **Span Masking**: Contiguous token masking with geometric distribution
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  - **nGiE**: n-gram Induced Encoding layer (1D convolution, kernel size 3)
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  ## Model Specifications
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  | Parameter | Value |