许可证：MIT

注意：本模型可能无法完全复现论文（\cite{chopra-ghosh-2021-term}）中提到的数值，因为与原始模型不同，该模型是在较小的批次规模和较少的训练周期下进行训练的。

训练源代码将很快在以下网址提供：https://github.com/sohomghosh/FinSim_Financial_Hypernym_detection

@inproceedings{chopra-ghosh-2021-term,
    title = "金融术语上下位词和同义词排序的术语扩展与{FinBERT}微调",
    author = "Chopra, Ankush 和 Ghosh, Sohom",
    booktitle = "第三届金融科技与自然语言处理研讨会论文集(FinNLP@IJCAI 2021)",
    month = "8月",
    year = "2021",
    address = "线上",
    publisher = "-",
    url = "https://aclanthology.org/2021.finnlp-1.8",
    pages = "46--51",
}

使用以下代码在Transformers中导入该模型：

from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("sohomghosh/LIPI_FinSim3_Hypernym")

model = AutoModel.from_pretrained("sohomghosh/LIPI_FinSim3_Hypernym")


#使用SentenceTransformers
from sentence_transformers import SentenceTransformer
model_finlipi = SentenceTransformer('sohomghosh/LIPI_FinSim3_Hypernym')