sentence-transformers How to use KayaTechAI/BGE-M3-0.56B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-Generalization-Baseline with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("KayaTechAI/BGE-M3-0.56B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-Generalization-Baseline")
sentences = [
"How does the Session Description Protocol (SDP) typically facilitate media session setup?",
"The Serving GPRS Support Node (SGSN) typically initiates a PDP context activation procedure towards the GGSN after receiving a request from the mobile device.",
"SDP is used to describe the parameters for media streams, such as codecs, transport protocols, and IP addresses, enabling endpoints to agree on how to exchange media.",
"They show the order of the bits produced by the speech encoder."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
