How to use Bea-Taylor/objection_fine_tuned_4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Bea-Taylor/objection_fine_tuned_4") sentences = [ "The alternative scheme by SNB addresses the noise and overheating issues by using passive design strategies, including Passivhaus principles for orientation and proposing alternative building typologies in its design; the inclusion of maisonettes along the railway as suggested in the SNB proposal means that there would be no habitable rooms facing the tracks.", "This would constitute over development of the residential site with loss of privacy for neighbours, a strain on Victorian infrastructure, local facilities and more congestion for Gordon Road.", "The local traffic is appalling as it is and this is just going to add to the ongoing misery of the local area with the crumbling roads.", "In the consultation in June, shown here, they said the play area was going to be communal, but that is not mentioned in the planning application at all." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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