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]
