sentence-transformers How to use srikarvar/fine_tuned_model_16 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("srikarvar/fine_tuned_model_16")
sentences = [
"The main objective of the System Logs documentation is to demonstrate how to utilize the 📋 Logs system to access and manipulate logs of any format or type.",
"The purpose of the System Logs documentation is to provide information on how to use the 📋 Logs system to store and work with logs of any format or type.",
"The main difference between a ProductList and an InventoryList is that a ProductList provides random access to the items, while an InventoryList updates progressively as you browse the list.",
"The most recommended way to clean kitchen surfaces is with a microfiber cloth."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
