How to use amorfati/custom-emb-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("amorfati/custom-emb-model") sentences = [ "The entire city was surrounded by open countryside with a scattering of small villages.", "Let's leave it.", "It was proven that Mrs. Vandemeyer and the girl were hiding something.", "There is only one large village in the countryside." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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