How to use tnguy564/qwen-geospatial-embedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tnguy564/qwen-geospatial-embedder") sentences = [ "pizzeria pomodoretto | 130 wandsworth high street | pizza_restaurant", "wein und sektgut josef reis | spielesstr 9 | Travel and Transportation > Lodging > Bed and Breakfast", "pizzeria pomodoretto | 130 wandsworth high street wandsworth | pizza_restaurant", "oberschorfheide wäsche dessous bademoden | lange straße 26 | Retail > Textiles Store" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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