sentence-transformers How to use JianLiao/spectrum-doc-fine-tuned with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("JianLiao/spectrum-doc-fine-tuned")
sentences = [
"Represent this sentence for searching relevant passages: What are some best practices for ensuring images in horizontal cards are visually appealing despite being cropped to fit a square format?",
"Tree view\nUsage guidelines\nHorizontal scrolling: If you have a layout that doesn't allow for users to adjust the width of the container for a tree view, allow them to horizontally scroll in order to see the full depth of the hierarchy.\nDo: Allow horizontal scrolling in a fixed layout.\n",
"Cards\nOptions\nVertical or horizontal : Standard cards can be laid out vertically (components are organized in a column) or horizontally (components are organized in a row).\n\nHorizontal cards always have a square preview, and the image is cropped to fit inside the square. These can only be laid out in a tile grid where every card is the same size.",
"Alert dialog\nBehaviors\nButton group overflow: An alert dialog can have up to 3 buttons. When horizontal space is limited, button groups stack vertically. They should appear in ascending order based on importance, with the most critical action at the bottom."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
