Add metadata, link to project page
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by
nielsr
HF Staff
- opened
README.md
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# DPLM
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DPLM (diffusion protein language model) is a versatile protein language model that demonstrates strong generative and predictive capabilities for protein sequences. Specifically, DPLM exhibits impressive performance in protein sequence generation, motif scaffolding, inverse folding, and representation learning.
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For more detailed information about DPLM, please refer to our paper [Diffusion Language Models Are Versatile Protein Learners](https://arxiv.org/abs/2402.18567).
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This repository contains the DPLM model checkpoint of 3B parameters.
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Please refer to our [github repository](https://github.com/bytedance/dplm/tree/main) for code and usage.
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For example, you can load DPLM model as below:
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---
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library_name: transformers
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pipeline_tag: feature-extraction
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license: apache-2.0
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---
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# DPLM
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DPLM (diffusion protein language model) is a versatile protein language model that demonstrates strong generative and predictive capabilities for protein sequences. Specifically, DPLM exhibits impressive performance in protein sequence generation, motif scaffolding, inverse folding, and representation learning.
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For more detailed information about DPLM, please refer to our paper [Diffusion Language Models Are Versatile Protein Learners](https://arxiv.org/abs/2402.18567).
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Project page: https://bytedance.github.io/dplm/dplm-2.1
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This repository contains the DPLM model checkpoint of 3B parameters.
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Please refer to our [github repository](https://github.com/bytedance/dplm/tree/main) for code and usage.
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For example, you can load DPLM model as below:
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