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
| { | |
| "cls_token": "<cls>", | |
| "eos_token": "<eos>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |