How to use embedingHF/fine_tuned_bilingual_model_v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("embedingHF/fine_tuned_bilingual_model_v2") sentences = [ "map location", "is garage available", "how much is it", "bedrooms kitnay hain" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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{ "embedding_dimension": 384, "pooling_mode": "mean", "include_prompt": true }
