How to use srikarvar/fine_tuned_model_13 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("srikarvar/fine_tuned_model_13") sentences = [ "The next move is to acquire the dataset and delineate the divisions.", "The next step is to download the dataset and define the splits.", "The `batch_id` parameter is used to specify a batch specific to the recipe code. It is used to update the storage directory when the recipe instructions are modified.", "The Instructions guide is divided into sections such as Overview, Tutorials, How-to guides, Settings, Interface, Hardware, System repository, Conceptual guides, and Reference." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
