How to use Erog0291/stew-embedding-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Erog0291/stew-embedding-v2") sentences = [ "task: search result | query: Upscale this image for me", "title: code_app | text: Write and run code in a sandbox; build simple apps and games. Best for building a game or writing a script.", "title: image_edit | text: Edit, upscale or restyle images. Best for cleaning up a photo or removing a background.", "title: code_app | text: Write and run code in a sandbox; build simple apps and games. Best for building a game or writing a script." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/Erog0291/stew-embedding-v2/resolve/main/2_Normalize/config.json
hf download hf://Erog0291/stew-embedding-v2/2_Normalize/config.json
curl -L -o config.json https://huggingface.co/Erog0291/stew-embedding-v2/resolve/main/2_Normalize/config.json
