sentence-transformers 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] 
