PEFT
PyTorch
English
esm
esm2
ESM-2
protein language model
LoRA
Low Rank Adaptation
biology
CAFA-5
protein function prediction
Instructions to use AmelieSchreiber/esm2_t6_8M_UR50D_cafa5_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmelieSchreiber/esm2_t6_8M_UR50D_cafa5_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("AmelieSchreiber/cafa_5_protein_function_prediction") model = PeftModel.from_pretrained(base_model, "AmelieSchreiber/esm2_t6_8M_UR50D_cafa5_lora") - Notebooks
- Google Colab
- Kaggle
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- protein function prediction
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datasets:
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- AmelieSchreiber/cafa_5
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# ESM-2 LoRA for CAFA-5 Protein Function Prediction
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- protein function prediction
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datasets:
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- AmelieSchreiber/cafa_5
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license: mit
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language:
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- en
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# ESM-2 LoRA for CAFA-5 Protein Function Prediction
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