该模型基于自定义 Transformer 模型，可通过以下方式安装：
pip install git+https://github.com/lucadiliello/bleurt-pytorch.git现在加载模型并通过以下方式进行预测：
import torch
from bleurt_pytorch import BleurtConfig, BleurtForSequenceClassification, BleurtTokenizer
config = BleurtConfig.from_pretrained('lucadiliello/BLEURT-20-D12')
model = BleurtForSequenceClassification.from_pretrained('lucadiliello/BLEURT-20-D12')
tokenizer = BleurtTokenizer.from_pretrained('lucadiliello/BLEURT-20-D12')
references = ["a bird chirps by the window", "this is a random sentence"]
candidates = ["a bird chirps by the window", "this looks like a random sentence"]
model.eval()
with torch.no_grad():
inputs = tokenizer(references, candidates, padding='longest', return_tensors='pt')
res = model(**inputs).logits.flatten().tolist()
print(res)
# [0.9604414105415344, 0.8080050349235535]查看此 仓库 以获取 PyTorch 中 BleurtConfig、BleurtForSequenceClassification 和 BleurtTokenizer 的定义。