How to use WorkStation0/clip-finetuned-satellite with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("WorkStation0/clip-finetuned-satellite") sentences = [ "Some buildings and many green trees are located in an average residential area.some buildings and many green trees are located in an average residential area.some buildings and many green trees are located in an average residential area.some buildings and many green trees are in an average residential area.some buildings and many green trees are in a medium residential area .", "Seawater in the wind triggered layers of white spray.a pedestrian are on the shore of the sea .a lot of people on the beach .water is dark blue light blue .sea water in the wind set off layers of white spray .", "the brown roof stage is located in the middle of the road.Many large trees were planted around the stadium.many tall trees were planted around the stadium .the brown roof stadium is located in the middle of the road.the brown roof stadium is located in the middle of the road .", "Seawater in the wind triggered layers of white spray.a pedestrian are on the shore of the sea .a lot of people on the beach .water is dark blue light blue .sea water in the wind set off layers of white spray ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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