sentence-transformers How to use Syldehayem/all-MiniLM-L6-v2_embedder_train with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Syldehayem/all-MiniLM-L6-v2_embedder_train")
sentences = [
"Live Action Animation Effect from Spider-Man Across The Spider-Verse",
"PANDEMONIUM - Animation Short Film 2023 - GOBELINS",
"Rakhal Raja | রাখাল রাজা | Bengali Movie – 6/14 | Chiranjeet",
"CGI Animated Short Film: \"Song for a Wooden Heart\" by The Inklings | CGMeetup"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
