Transformers
PyTorch
esm
biology
protein-language-model
protein-generation
protein-structure
diffusion
Instructions to use airkingbd/dplm2_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airkingbd/dplm2_3b with Transformers:
# Load model directly from transformers import AutoTokenizer, EsmForDPLM2 tokenizer = AutoTokenizer.from_pretrained("airkingbd/dplm2_3b") model = EsmForDPLM2.from_pretrained("airkingbd/dplm2_3b") - Notebooks
- Google Colab
- Kaggle
Add model card
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by nielsr HF Staff - opened
README.md
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---
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license: apache-2.0
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library_name: transformers
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pipeline_tag: feature-extraction
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---
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This repository contains the DPLM-2.1 model described in [Elucidating the Design Space of Multimodal Protein Language Models](https://huggingface.co/papers/2504.11454).
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Project Page: https://bytedance.github.io/dplm/dplm-2.1
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Code: https://github.com/ByteDance/DPLM
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