How to use ImranzamanML/German_Semantic_V3b_Optimised with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ImranzamanML/German_Semantic_V3b_Optimised", trust_remote_code=True) sentences = [ "Ein Mann übt Boxen", "Ein Affe praktiziert Kampfsportarten.", "Eine Person faltet ein Blatt Papier.", "Eine Frau geht mit ihrem Hund spazieren." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/ImranzamanML/German_Semantic_V3b_Optimised/resolve/main/tokenizer.json
hf download hf://ImranzamanML/German_Semantic_V3b_Optimised/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ImranzamanML/German_Semantic_V3b_Optimised/resolve/main/tokenizer.json
