How to use dinho1597/FT_RAG with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dinho1597/FT_RAG") sentences = [ "What is the main factor of signal interference in MCFs?", "The main factor of signal interference in MCFs is crosstalk, which is the leakage of a fraction of the signal power from a given core to its neighboring core.", "An integrity group temporal key (IGTK) is a random value used to protect group addressed medium access control (MAC) management protocol data units (MMPDUs) from a broadcast/multicast source station (STA).", "Wireless sensing through the combined use of radio wave and AI technologies aims to identify objects and recognize actions with high precision." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
