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Siamese Car Matcher
Сиамская нейросеть для определения, описывают ли два текста один автомобиль.
Архитектура
- Encoder: bert-base-multilingual-cased (shared)
- Interaction: [A, B, A-B, A*B] → 3072
- Classifier: 3072 → 256 → 64 → 1
Использование
from model import SiameseCarMatcher
from transformers import AutoTokenizer
import torch
model = SiameseCarMatcher("bert-base-multilingual-cased")
model.load_state_dict(torch.load("car_matcher.pt"))
model.eval()
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