How to use sergeyzh/rubert-large-uncased-query with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sergeyzh/rubert-large-uncased-query") 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 sergeyzh/rubert-large-uncased-query with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sergeyzh/rubert-large-uncased-query") model = AutoModel.from_pretrained("sergeyzh/rubert-large-uncased-query")
