sentence-transformers How to use tomaarsen/mmBERT-small-msmarco-fa2-flattened-mnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("tomaarsen/mmBERT-small-msmarco-fa2-flattened-mnrl")
sentences = [
"where is henderson mn",
"Confidence votes 1.7K. Assuming we're talking about the `usual' 12 volt car battery' the resting voltage should be around 11 to 11.5 volts. Under charge it's as high as 15 volts as supplied from the alternator,and most cars won't start if the voltage is under 10.5 to 11.5 volts. The term `12 volt battery' is what's referred to as, `nominal' or `in name only' as a general reference and not meant to be an accurate description.",
"Henderson is a very small town of 1,000 people on the west bank of the Minnesota River just south of the Minneapolis and Saint Paul metro area.",
"Henderson, officially the City of Henderson, is an affluent city in Clark County, Nevada, United States, about 16 miles southeast of Las Vegas. It is the second-largest city in Nevada, after Las Vegas, with an estimated population of 292,969 in 2016.[2] The city is part of the Las Vegas metropolitan area, which spans the entire Las Vegas Valley. Henderson occupies the southeastern end of the valley, at an elevation of approximately 1,330 feet (410 m)."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
