How to use IntelliProcure/TENDRIL-most-embed-de with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("IntelliProcure/TENDRIL-most-embed-de") sentences = [ "Das ist eine glückliche Person", "Das ist ein glücklicher Hund", "Das ist eine sehr glückliche Person", "Heute ist ein sonniger Tag" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/IntelliProcure/TENDRIL-most-embed-de/resolve/main/2_Normalize/config.json
hf download hf://IntelliProcure/TENDRIL-most-embed-de/2_Normalize/config.json
curl -L -o config.json https://huggingface.co/IntelliProcure/TENDRIL-most-embed-de/resolve/main/2_Normalize/config.json
