Congen TinyBERT L4

🚀 kornwtp/ConGen-TinyBERT-L4

這是一個 ConGen 模型，它可以將句子映射到一個 312 維的密集向量空間，可用於語義搜索等任務。

🚀 快速開始

當你安裝了 ConGen 後，使用這個模型就變得很簡單。

📦 安裝指南

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

💻 使用示例

基礎用法

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)

📚 詳細文檔

對於該模型的自動評估，請參閱 Sentence Embeddings Benchmark：Semantic Textual Similarity

📄 許可證

本項目採用 Apache-2.0 許可證。

📚 引用與作者

@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",
}