sentence-transformers 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] 
