How to use masonlf/bge-small-elec-finetune with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("masonlf/bge-small-elec-finetune") sentences = [ "When must mechanical ventilation be used in confined spaces?", "Grounding procedures require verification of de-energization first", "Arc flash work requires ventilation of electrical equipment enclosures after incidents", "Circuit breaker motion analysis checks overdrive within 5% of specification" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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