How to use jmroth/nlp-biencoder-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jmroth/nlp-biencoder-finetuned") sentences = [ "Environment Minister Greg Hunt the Coalition's emissions reduction fund, at $13.95 per tonne of carbon, is around 1 per cent of the cost of reducing carbon under the former Labor government's carbon pricing scheme, which he cost $1,300 a tonne.", "Sirius's heliacal rising, just before the start of the Nile flood, gave Sopdet a close connection with the flood and the resulting growth of plants.", "The proposal would have set an emissions price of NZ$15 per tonne of CO2-equivalent.", "\"More recently, evaporation over lakes has steadily been increasing, largely due to increases in water surface temperature,\" Gronewold said." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
