Transformers
English
conformal-prediction
protein-language-models
uncertainty-quantification
esm-2
temperature-scaling
cpu
protein-structure
protein-engineering
Instructions to use knoxel/conformalesm-paper-starter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knoxel/conformalesm-paper-starter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("knoxel/conformalesm-paper-starter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# ConformalESM: Distribution-Free Uncertainty Quantification for Protein Language Models
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**Cites:** Lin et al. 2022, "Evolutionary Scale Prediction of Atomic Level Protein Structure with a Language Model", Science.
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---
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language: en
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license: mit
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library_name: transformers
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datasets:
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- lamm-mit/protein_secondary_structure_from_PDB
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models:
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- AmelieSchreiber/esm2_t6_8M_UR50D-finetuned-secondary-structure
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tags:
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- conformal-prediction
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- protein-language-models
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- uncertainty-quantification
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- esm-2
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- temperature-scaling
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- cpu
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- protein-structure
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- protein-engineering
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---
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# ConformalESM: Distribution-Free Uncertainty Quantification for Protein Language Models
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**Cites:** Lin et al. 2022, "Evolutionary Scale Prediction of Atomic Level Protein Structure with a Language Model", Science.
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