metadata
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
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"])