sentence-transformers 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] 
