Instructions to use AmelieSchreiber/esm2_t12_35M_LoRA_RNA_binding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmelieSchreiber/esm2_t12_35M_LoRA_RNA_binding 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_LoRA_RNA_binding") - Transformers
How to use AmelieSchreiber/esm2_t12_35M_LoRA_RNA_binding with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AmelieSchreiber/esm2_t12_35M_LoRA_RNA_binding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24a03aa74e58ee09650ee0f0cd993c01739102de0329bbe8c302b5826caa23e0
- Size of remote file:
- 3.96 kB
- SHA256:
- 606d136e751a1d0a42cea7c914fea11edb6569d302ab9793c979fe8072152db4
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