---
library_name: model2vec
license: mit
model_name: cnmoro/low-dimension-static-model
tags:
- embeddings
- static-embeddings
- sentence-transformers
---

A low dimension static embedding model (3d) to be used as a text encoder in ML pipelines

## Installation

Install model2vec using pip:
```
pip install model2vec
```

```python
from sentence_transformers import SentenceTransformer

# Load a pretrained Sentence Transformer model
model = SentenceTransformer("cnmoro/low-dimension-static-model")

# Compute text embeddings
embeddings = model.encode(["Example sentence"])
```