metadata
base_model: BAAI/bge-code-v1
language:
- zh
- en
library_name: model2vec
license: mit
model_name: bge_static_512d
tags:
- embeddings
- static-embeddings
- sentence-transformers
from model2vec import StaticModel
# Load a pretrained Model2Vec model
model = StaticModel.from_pretrained("WiseIntelligence/static-bge-code-v1-st")
# Compute text embeddings
embeddings = model.encode(["Example sentence"])