readme: ---
  language: en
  license: mit
  ---
  This is the baseline model used in most experiments in the paper ["A Dataset for N-ary Relation Extraction of Drug Combinations"](https://arxiv.org/abs/2205.02289).
  
  *(for just the domain-adapted masked language model that we use underneath this model, see [here](https://huggingface.co/allenai/drug_combinations_lm_pubmedbert?text=Paxlovid+works+well+in+combination+with+%5BMASK%5D+for+treating+breast+cancer.))*
  
  
  **Steps to load this model**
  
  1) Download accompanying code:
  ```
  git clone https://github.com/allenai/drug-combo-extraction.git
  conda create --name drug_combo python=3.8.5
  conda activate drug_combo
  ```
  
  2) Download model from Huggingface:
  
  ```
  git lfs install
  git clone https://huggingface.co/allenai/drug-combo-classifier-pubmedbert-dapt
  ```
  
  3) Load model (`in Python`):
  
  ```
  from modeling.model import load_model
  checkpoint_path = "drug-combo-classifier-pubmedbert-dapt"
  model, tokenizer, metadata = load_model(checkpoint_path)
  ```