How to use AtesiT/osint-stylometry-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AtesiT/osint-stylometry-model") 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]
https://huggingface.co/AtesiT/osint-stylometry-model/resolve/main/checkpoints/v2.0/tokenizer.json
hf download hf://AtesiT/osint-stylometry-model/checkpoints/v2.0/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/AtesiT/osint-stylometry-model/resolve/main/checkpoints/v2.0/tokenizer.json
