How to use afiyarah/gemma-ins-make with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("afiyarah/gemma-ins-make") sentences = [ "In the car insurance domain, represent this car make entity in arabic for entity similarity matching: يو دي", "In the car insurance domain, represent this car make entity in arabic and english for entity similarity matching: ppm", "In the car insurance domain, represent this car make entity in arabic for entity similarity matching: إس دي إل جي", "In the car insurance domain, represent this car make entity in arabic for entity similarity matching: كارد نر" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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