Instructions to use airkingbd/dplm_150m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airkingbd/dplm_150m with Transformers:
# Load model directly from transformers import AutoTokenizer, EsmForDPLM tokenizer = AutoTokenizer.from_pretrained("airkingbd/dplm_150m") model = EsmForDPLM.from_pretrained("airkingbd/dplm_150m") - Notebooks
- Google Colab
- Kaggle
Add link to paper, add pipeline tag
#1
by nielsr HF Staff - opened
README.md
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---
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pipeline_tag: feature-extraction
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tags:
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- protein-folding
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---
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This PR includes the DPLM-150m as described in [DPLM-2: A Multimodal Diffusion Protein Language Model](https://huggingface.co/papers/2410.13782).
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Code (and usage): https://github.com/bytedance/dplm
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