sentence-transformers How to use FORNstudio/brine with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("FORNstudio/brine")
sentences = [
"MySafetyEye offers an innovative and sustainable home surveillance and alarm solution that repurposes old smartphones or tablets into monitoring devices. Users can install the app on their primary phone and the old device to set up a home alarm system in under two minutes. The service includes free home surveillance and a subscription-based home alarm feature with motion detection. When motion is detected, an alarm notification is sent to the user's primary smartphone, providing a picture of the event. The system also supports automatic activation and deactivation based on the family's geolocation, enhancing convenience and security.",
"CREDO FISH was a Denmark-based company specializing in the import and export of seafood products, including tiger-shark and angel-shark. Established on December 1, 1995, the company was headquartered in Frederikshavn, Nordjylland. It ceased operations on December 21, 2021.",
"Software-Pro ApS provides technology consulting services, specializing in testing and quality assurance. The company assists clients in testing their software and optimizing processes to enhance predictability in software development. Software-Pro serves customers in Denmark.",
"Living Places is a comprehensive online resource dedicated to providing detailed information about homes, neighborhoods, towns, and counties across the United States. The platform offers insights into various residential subdivisions, architectural styles, and historical areas, catering to individuals seeking to learn more about different living environments. With a focus on U.S. neighborhoods and towns, Living Places serves as a valuable guide for those exploring housing options and community characteristics."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
