Simcse Model XLMR

🚀 {kornwtp/simcse-model-XLMR}

This is a sentence-transformer model that maps sentences & paragraphs to a 768-dimensional dense vector space, enabling tasks such as clustering and semantic search.

🚀 Quick Start

This is a sentence-transformers model that uses XLM - R as the baseline. It maps sentences and paragraphs into a 768 - dimensional dense vector space, which can be used for tasks like clustering or semantic search.

We employed SimCSE here and trained the model with Thai Wikipedia here

📦 Installation

Using this model becomes easy when you have sentence-transformers installed:

pip install -U sentence-transformers

💻 Usage Examples

Basic Usage

from sentence_transformers import SentenceTransformer
sentences = ["กลุ่มผู้ชายเล่นฟุตบอลบนชายหาด", "กลุ่มเด็กชายกำลังเล่นฟุตบอลบนชายหาด"]

model = SentenceTransformer('kornwtp/ConGen-paraphrase-multilingual-mpnet-base-v2')
embeddings = model.encode(sentences)
print(embeddings)

📄 License

This project is licensed under the Apache - 2.0 license.