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