Instructions to use AmelieSchreiber/esm2_t12_35M_qlora_binding_sites_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmelieSchreiber/esm2_t12_35M_qlora_binding_sites_v0 with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("facebook/esm2_t12_35M_UR50D") model = PeftModel.from_pretrained(base_model, "AmelieSchreiber/esm2_t12_35M_qlora_binding_sites_v0") - Notebooks
- Google Colab
- Kaggle
File size: 125 Bytes
9192893 | 1 2 3 4 5 6 7 8 | {
"cls_token": "<cls>",
"eos_token": "<eos>",
"mask_token": "<mask>",
"pad_token": "<pad>",
"unk_token": "<unk>"
}
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