How to use inkoziev/sbert_pq with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("inkoziev/sbert_pq") sentences = [ "Кошка ловит мышку.", "Кто ловит мышку?", "Где живет кошка?", "Как мышку зовут?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use inkoziev/sbert_pq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("inkoziev/sbert_pq") model = AutoModel.from_pretrained("inkoziev/sbert_pq", device_map="auto")
https://huggingface.co/inkoziev/sbert_pq/resolve/main/tokenizer.json
hf download hf://inkoziev/sbert_pq/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/inkoziev/sbert_pq/resolve/main/tokenizer.json
