sentence-transformers How to use sarwin/rp-embed with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("sarwin/rp-embed")
sentences = [
"Markov chains and performance comparison of switched diversity systems",
"An algorithm for speaker's lip segmentation and features extraction is presented. A color video sequence of speaker's face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from the RGB to HI (hue, intensity) color space. Second, a statistical approach using Markov random field modeling determines the red hue prevailing region and motion in a spatiotemporal neighborhood. Third, the final label field is used to extract ROI (region of interest) and geometrical features.",
"There are about 90 million high performance mobile phones used in Japan. We are now planning to develop new applications of mobile phone to support children and elder and disabled people who are out of scope of major mobile phone application based on their requirements. We have a responsibility to extend the application filed of mobile phone as a leading country of ubiquitous life. This paper discusses possibilities to realize mobile ad hoc networks using Bluetooth functions equipped on a mobile phone. Hierarchical mobile ad hoc networks using Bluetooth in a mobile phone are firstly developed as a test platform. The test platform proves the possibility of developing mobile ad hoc network by mobile phone built-in Bluetooth functions. We demonstrate their capabilities by showing results of implementing game applications on the test platform. The paper also describes some example applications using mobile ad hoc network technologies, which include a location tracking system for children on the way to a school and an alarm system for hearing impaired people",
"Switch-and-stay combining (SSC) diversity systems have the advantage of offering one of the least complex solutions to mitigating the effect of fading. In this paper, we present a Markov chain-based analytical framework for the performance analysis of various switching strategies used in conjunction with SSC systems. The resulting expressions are quite general, and are applicable to dual-branch diversity systems operating over a variety of correlated and/or unbalanced fading channels. The mathematical formalism is illustrated by some selected numerical examples, along with their discussion and interpretation. As a result, this paper presents a thorough comparison and highlights the main differences and tradeoffs between the various SSC switching strategies."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
