sentence-transformers How to use FINGU-AI/FinguMv3 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("FINGU-AI/FinguMv3", trust_remote_code=True)
sentences = [
"Paracrystalline materials are defined as having short and medium range ordering in their lattice (similar to the liquid crystal phases) but lacking crystal-like long-range ordering at least in one direction.",
"Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: Paracrystalline",
"Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: Øystein Dahle",
"Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: Makis Belevonis"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
