How to use andreyunic23/beds_step4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("andreyunic23/beds_step4") sentences = [ "Heat and smoke detectors should trigger an alarm and extinguishing systems.", "Laboratory Operators must be trained to manipulate energetic materials correctly.", "Loss or damage to test environments.", "Heat and smoke detectors should trigger an alarm and extinguishing systems." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
