---
license: afl-3.0
---
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

# load model
model = AutoModelForSequenceClassification.from_pretrained('dmrau/bow-bert')
# load tokenizer
tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')

# tokenize query and passage and concatenate them
inp = tokenizer(['this is a query'], ['this is a passage'], return_tensors='pt')

# get estimated score
print('score', model(**inp).logits[:, 1])

```