Instructions to use AmelieSchreiber/esm2_t30_150M_ptm_qlora_2100K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmelieSchreiber/esm2_t30_150M_ptm_qlora_2100K with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("facebook/esm2_t30_150M_UR50D") model = PeftModel.from_pretrained(base_model, "AmelieSchreiber/esm2_t30_150M_ptm_qlora_2100K") - Notebooks
- Google Colab
- Kaggle
File size: 93 Bytes
ccad8a7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | <cls> <pad> <eos> <unk> L A G V S E R T I D P K Q N F Y M H W C X B U Z O . - <null_1> <mask> |