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
File size: 108 Bytes
3632c4b | 1 2 3 4 5 6 | {
"clean_up_tokenization_spaces": true,
"model_max_length": 1024,
"tokenizer_class": "EsmTokenizer"
}
|