How to use Syldehayem/all-MiniLM-L12-v2_embedder_train with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Syldehayem/all-MiniLM-L12-v2_embedder_train") sentences = [ "CGI 3D Animated Short \"The Scarf\" - by Team The Scarf", "CGI 3D Short: \"Lenovo Legion: Turning Point\" - by Audis Huang & Moonshine Animation | TheCGBros", "CGI Animated Trailers : \"Dropzone\" - by RealtimeUK", "CGI 3D Animated Short: \"SOLVIVAL\" - by Pixelhunters | TheCGBros" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
