How to use snagbreac/russian-reverse-dictionary-semsearch with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("snagbreac/russian-reverse-dictionary-semsearch") sentences = [ "Это счастливый человек", "Это счастливая собака", "Это очень счастливый человек", "Сегодня солнечный день" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use snagbreac/russian-reverse-dictionary-semsearch with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("snagbreac/russian-reverse-dictionary-semsearch") model = AutoModel.from_pretrained("snagbreac/russian-reverse-dictionary-semsearch")
This model has 1 file scanned as unsafe.
