sentence-transformers How to use Shakhovak/tiny_sent_transformer with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Shakhovak/tiny_sent_transformer")
sentences = [
"Тренажер на свободных весах DFC HOMEGYM HM019 в Москве",
"Независимая бицепс-машина Matrix G7-S40",
"Беговая дорожка Stingrey ST-9317",
"Мультикомплекс Hasttings Digger HD003-7"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
