cnmoro/nomic-embed-text-v2-moe-distilled-high-quality

This Model2Vec model was created by using Tokenlearn, with nomic-embed-text-v2-moe as a base.

The output dimension is 768.

Usage

Load this model using the from_pretrained method:

from model2vec import StaticModel

# Load a pretrained Model2Vec model
model = StaticModel.from_pretrained("cnmoro/nomic-embed-text-v2-moe-distilled-high-quality")

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