How to use allenborochin/0sint-event-embedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("allenborochin/0sint-event-embedder") sentences = [ "Chemical spill near Haifa. 1,000 evacuated. Community working together.", "Chemical spill in Haifa. Evacuation ordered; 1,000 individuals affected.", "Breaking: Haifa Port Chemical Incident. Evacuation ordered. No deaths reported yet. Stay informed. #NewswireIL", "🚨🚨🚨 SIRENS! Suspicious activity spotted near Haifa airport! 😱 Passerby alerting authorities! Sources-say passenger behaving unusually, will be checked by security 🔍 #HaifaAirportSafety #SuspiciousBehavior" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
The community tab is the place to discuss and collaborate with the HF community!
