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pip install model2vec1from sentence_transformers import SentenceTransformer
2
3# Load a pretrained Sentence Transformer model
4model = SentenceTransformer("cnmoro/low-dimension-static-model")
5
6# Compute text embeddings
7embeddings = model.encode(["Example sentence"])