sentence-transformers How to use anthonymeo/embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("anthonymeo/embedding")
sentences = [
"how to calculate a service load",
"what is the height of a lead in antenna",
"types se cable",
"what is the purpose of a circuit breaker"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
