How to use EMBO/soda-vec-dot-std-cov-losses with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("EMBO/soda-vec-dot-std-cov-losses") 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/EMBO/soda-vec-dot-std-cov-losses/resolve/main/tokenizer.json
hf download hf://EMBO/soda-vec-dot-std-cov-losses/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/EMBO/soda-vec-dot-std-cov-losses/resolve/main/tokenizer.json
