Instructions to use SaProtHub/Model-ACE2_Omicron_BQ.1.1_binding_affinity-35M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SaProtHub/Model-ACE2_Omicron_BQ.1.1_binding_affinity-35M with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("westlake-repl/SaProt_35M_AF2") model = PeftModel.from_pretrained(base_model, "SaProtHub/Model-ACE2_Omicron_BQ.1.1_binding_affinity-35M") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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### Dataset description
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The dataset is from [Deep mutational scans of XBB.1.5 and BQ.1.1 reveal ongoing epistatic drift during SARSCoV-2 evolution](https://doi.org/10.1371/journal.ppat.1011901).
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Label means binding affinities level.
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### Model input type
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Amino acid sequence
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### Dataset description
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The dataset is from [Deep mutational scans of XBB.1.5 and BQ.1.1 reveal ongoing epistatic drift during SARSCoV-2 evolution](https://doi.org/10.1371/journal.ppat.1011901).
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Label means binding affinities level. ranging from minus infinity to positive infinity.
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Zero means no affinity, lager means higher affinity and smaller means lower affinity.
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### Model input type
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Amino acid sequence
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