sentence-transformers How to use machinev/model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("machinev/model")
sentences = [
"the main power cable is connected with LPT ",
"the main power cable is connected with LPT ",
"the main power cable is connected with LPT ",
"/content/sample_data/images/LPT (2).jpeg"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
