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:
- 8e97b91bb9acb5b36cc361af481da5b966ccebfe56f8a5b40fd2891456b1d500
- Size of remote file:
- 627 Bytes
- SHA256:
- 37af20c4f63fb14548a3b1d1c99a67784ec43e8ece3c39ac068144a8a77a1705
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