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
- Xet hash:
- ca4f6d830508fa94b93142257fa57f1fcc113e723e3595c660b1b991552ab9fb
- Size of remote file:
- 886 kB
- SHA256:
- 3443004d210eb51405bbe33e28d76e0f0cd4dbfb0570bfc8bb7b9d3d1accd650
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