Duplicated from KIEFERSA/Sophea-Nemo-Embedding
How to use ayoubkirouane/Sophea-Nemo-Embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ayoubkirouane/Sophea-Nemo-Embedding") 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/ayoubkirouane/Sophea-Nemo-Embedding/resolve/main/stack.png
hf download hf://ayoubkirouane/Sophea-Nemo-Embedding/stack.png
curl -L -o stack.png https://huggingface.co/ayoubkirouane/Sophea-Nemo-Embedding/resolve/main/stack.png
