Congen TinyBERT L4

🚀 kornwtp/ConGen-TinyBERT-L4

这是一个 ConGen 模型，它可以将句子映射到一个 312 维的密集向量空间，可用于语义搜索等任务。

🚀 快速开始

当你安装了 ConGen 后，使用这个模型就变得很简单。

📦 安装指南

pip install -U git+https://github.com/KornWtp/ConGen.git

💻 使用示例

基础用法

from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('kornwtp/ConGen-TinyBERT-L4')
embeddings = model.encode(sentences)
print(embeddings)

📚 详细文档

对于该模型的自动评估，请参阅 Sentence Embeddings Benchmark：Semantic Textual Similarity

📄 许可证

本项目采用 Apache-2.0 许可证。

📚 引用与作者

@inproceedings{limkonchotiwat-etal-2022-congen,
    title = "{ConGen}: Unsupervised Control and Generalization Distillation For Sentence Representation",
    author = "Limkonchotiwat, Peerat  and
      Ponwitayarat, Wuttikorn  and
      Lowphansirikul, Lalita and
      Udomcharoenchaikit, Can  and
      Chuangsuwanich, Ekapol  and
      Nutanong, Sarana",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
    year = "2022",
    publisher = "Association for Computational Linguistics",
}