How to use Syldehayem/all-MiniLM-L6-v2_embedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Syldehayem/all-MiniLM-L6-v2_embedder") sentences = [ "CGI VFX Breakdowns \"El Principe Season 1\" - by Stargate Studios Malta", "Best of 2013!", "কাজকর্ম ফেলে ছেলে নিয়ে পড়ে থাকলে হবে | Baro Bou | #shorts | #banglacinema", "CG animation on social anxiety | \"Subconcious Password\" - by Chris Landreth (Oscar-winner)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
