sentence-transformers How to use srikarvar/fine_tuned_model_10 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("srikarvar/fine_tuned_model_10")
sentences = [
"The `num_steps` parameter is employed to indicate the quantity of steps when preparing the recipe.",
"The `num_steps` parameter is used to specify the number of steps when preparing the recipe.",
"The `rename_fields` function creates a new form with fields renamed to provided names.",
"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."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
