How to use inkoziev/sbert_synonymy with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("inkoziev/sbert_synonymy") sentences = [ "Кошка ловит мышку", "Мышка преследуема кошкой", "Кошка гонится за мышью", "Кошка ловит кайф" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use inkoziev/sbert_synonymy with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("inkoziev/sbert_synonymy") model = AutoModel.from_pretrained("inkoziev/sbert_synonymy")
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