sentence-transformers How to use ganeshanmalhotra007/model_3 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("ganeshanmalhotra007/model_3", trust_remote_code=True)
sentences = [
"What are the client's target industries?",
"Right.\nAnd also, you know, heavy equipment.\nOkay, I understand.",
"And there's a full spectrum.\nIt's all about your order offering.\nRight.\nIf you're offering, like, a full design platform where now we have way more engagement in terms of employee being able to get it from one place, and that could be.\nThat could take away again, like, my pitch would be basically being on the show.",
"Our competitors are billion dollar corporations.\nSo Experian Epsilon, which is owned by IPG or publicis, big french company, Axiom, which is owned by IPG.\nInter public group, huge agency.\nSo it's nice competing against multibillion dollar corporations because they move at the speed of the Statue of Liberty."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
