How to use gkudirka/crash_encoder1-sts with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gkudirka/crash_encoder1-sts") sentences = [ "T L 2 DUMMY CHEST LAT WIDEBAND 90 Deg Front 2020 CX482 G-S", "T L F DUMMY CHEST LAT WIDEBAND 90 Deg Front 2020.5 U625 G-S", "T L F DUMMY HEAD CG LAT WIDEBAND Static Airbag OOP Test 2025 CX430 G-S", "T R F DUMMY PELVIS LAT WIDEBAND 90 Deg Frontal Impact Simulation 2026 P800 G-S" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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