Simcse Model Phayathaibert

🚀 {kornwtp/simcse-model-phayathaibert}

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

🚀 Quick Start

This is a sentence-transformers model. It can map sentences and paragraphs to a 768-dimensional dense vector space and is useful for tasks like clustering or semantic search.

We utilize SimCSE here and train the model with Thai Wikipedia here.

📦 Installation

Using this model becomes easy when you have sentence-transformers installed. You can install it with the following command:

pip install -U sentence-transformers

💻 Usage Examples

Basic Usage

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

model = SentenceTransformer('{MODEL_NAME}')
embeddings = model.encode(sentences)
print(embeddings)

📄 License

This project is licensed under the Apache-2.0 license.