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:
- af9cf616aa683a52dcb93fb46eee9892e6b4cf815aa35ebeb3dabbdeb532e382
- Size of remote file:
- 14.6 kB
- SHA256:
- 0969982f3227a89fceb325f701999a3a3f41dc79bf2fd2fabd29f3f343934f8a
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