How to use SkyIsNotGreen/splinter-memory with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SkyIsNotGreen/splinter-memory") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/SkyIsNotGreen/splinter-memory/resolve/main/figures/arch.png
hf download hf://SkyIsNotGreen/splinter-memory/figures/arch.png
curl -L -o arch.png https://huggingface.co/SkyIsNotGreen/splinter-memory/resolve/main/figures/arch.png
