---
title: drug-combo-classifier-pubmedbert-dapt
canonical_url: "https://www.modelscope.cn/models/LLM-Research/drug-combo-classifier-pubmedbert-dapt"
md_url: "https://www.modelscope.cn/models/LLM-Research/drug-combo-classifier-pubmedbert-dapt.md"
repository: LLM-Research/drug-combo-classifier-pubmedbert-dapt
last_updated: 2024-09-08
license: mit
model_type:
  - bert
architectures:
  - BertForRelation
library_name:
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 2114
stars: 0
---

# drug-combo-classifier-pubmedbert-dapt

> drug-combo-classifier-pubmedbert-dapt - LLM-Research 在 ModelScope 开源的模型。This is the baseline model used in most experiments in the paper "A Dataset for N-ary Relation Extraction of Drug Combinations".

LLM-Research/drug-combo-classifier-pubmedbert-dapt 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: LLM-Research/drug-combo-classifier-pubmedbert-dapt
- **License**: mit
- **Downloads**: 2114
- **Stars**: 0
- **Last updated**: 2024-09-08

Source: https://www.modelscope.cn/models/LLM-Research/drug-combo-classifier-pubmedbert-dapt

---

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)
```