sentence-transformers How to use FINGU-AI/FingUEm_V3 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("FINGU-AI/FingUEm_V3", trust_remote_code=True)
sentences = [
"Ramjipura Khurd",
"*1. Yes, I did, because you, dear sir, dropped the ball by failing to see that carrots was an imaginative metaphor for the human bone. Yes, carrots are not bones, but how can one define what a \"vegetable\" truly is? Some may say, \"vegetables are not X.\" But that presumes a linear concept of knowledge based around the word \"is.\" You sir, have not read Edvard WEstermark's seminal work \"Wit and Wisdom in Morroco.\" *2. Cheese pizza lacks toppings. if you wish to know more, simply go to a \"menu\" and see what category they place meat (or, as I creatively spelled it in order to destroy Euro-centric spelling, meet) as \"extra toppings.\" Extra cheese is not LISTED. *4 Pa�acuelos do not exist, but does pizza? Answer correctly or die.",
"Ramjipura Khurd is a small village 50 km from Jaipur, Rajasthan, India. There are 200 houses in the village. Many Rajputs live in Ramjipura Khurd, as well as other castes.",
"The United States House Natural Resources Subcommittee on Indian and Alaska Native Affairs is one of the five subcommittees within the House Natural Resources Committee"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
