Simcse Model Distil M Bert

🚀 {mrp/simcse-model-distil-m-bert}

This is a sentence similarity model based on the sentence-transformers framework. It uses m-Distil-BERT as the base model, mapping sentences and paragraphs into a 768-dimensional dense vector space. This model can be applied to tasks such as clustering or semantic search.

🚀 Quick Start

This model is built upon the sentence-transformers framework. By leveraging m-Distil-BERT as the base model, 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 the SimCSE method detailed in this paper and trained the model using Thai Wikipedia data from this source.

📦 Installation

Installing this model is straightforward if you have sentence-transformers installed:

pip install -U sentence-transformers

💻 Usage Examples

Basic Usage

from sentence_transformers import SentenceTransformer
sentences = ["ฉันนะคือคนรักชาติยังไงละ!", "พวกสามกีบล้มเจ้า!"]

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

```markdown
| Property | Details |
|----------|---------|
| Pipeline Tag | sentence-similarity |
| Tags | sentence-transformers, feature-extraction, sentence-similarity, transformers |