sentence-transformers How to use rnbokade/custom-bge with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("rnbokade/custom-bge")
sentences = [
"23-0125 - Crispr mRNA Fume Hood Installations->Construction->QC Lab 1218 Fume Hood Install->Electrical - Fume Hood Power/Grounding Terminations - QC Lab",
"mat-3783s5 : 3783 Seq 5 - Material Order",
"21-1313-2.0 : Layout Drawings",
"26-0500-1.0a : Breakers (2P 20A)"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4]