How to use bhlim/bge-base-patentmatch with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bhlim/bge-base-patentmatch") sentences = [ "The UE sends the uplink signal including the identifier of the uplink serving node to the downlink serving node and in this case the downlink serving node learns the mapping relationship among the UE the uplink serving node and the downlink serving node.The UE sends the uplink signal including the identifier of the downlink serving node to the uplink serving node an in thiscase the uplink serving node learns the mapping relationship among the UE the uplink serving node and the downlink serving node.", "A terminal for use in a wireless communication network comprising a plurality of base stations the terminal arranged to communicate with the network via at least two cells of a plurality of cells and to transmit a request for uplink resources wherein the terminal is arranged to select at least one cell from among said plurality of said cells for transmission of said request a resource for transmission of said request from among a plurality of resources provided by a cell and a characteristic of a signal used to transmit said request and to perform the selection in dependence on at least one of the reason for said request the characteristics of an uplink channel for transmission of said request and the preference of the network.", "The electronic device of any of claims 15 wherein the processor is further configured to check whether the specific audio data is stored at the memory in response to a play request on the specific audio data.", "The system of claim 1 or claim 2 comprising a plurality of said radiation emitting devices." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
