How to use Secnd-AI/ren with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Secnd-AI/ren") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
https://huggingface.co/Secnd-AI/ren/resolve/main/1_Pooling/config.json
hf download hf://Secnd-AI/ren/1_Pooling/config.json
curl -L -o config.json https://huggingface.co/Secnd-AI/ren/resolve/main/1_Pooling/config.json
