Bleurt Large 512

🚀 BLEURT

这是ACL论文"BLEURT: Learning Robust Metrics for Text Generation"中原始BLEURT模型的PyTorch版本。该论文由Google Research的Thibault Sellam、Dipanjan Das和Ankur P. Parikh撰写。

模型转换的代码源自此笔记本，该笔记本在此处被提及。

💻 使用示例

基础用法

from transformers import AutoModelForSequenceClassification, AutoTokenizer
import torch

tokenizer = AutoTokenizer.from_pretrained("Elron/bleurt-large-512")
model = AutoModelForSequenceClassification.from_pretrained("Elron/bleurt-large-512")
model.eval()

references = ["hello world", "hello world"]
candidates = ["hi universe", "bye world"]

with torch.no_grad():
  scores = model(**tokenizer(references, candidates, return_tensors='pt'))[0].squeeze()
print(scores) # tensor([0.9877, 0.0475])