How to use Komalverma/custom-bge-baai-base-cfr-cms with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Komalverma/custom-bge-baai-base-cfr-cms") sentences = [ "the suppliers for shall use KK modifier. All suppliers, suppliers, shall submit claims competitive bid items using the aforementioned bidding The and KK are in Round of competitive bidding program and modifiers are for future program", "<> To review and identify the policies and procedures that caused an HHA to furnish substandard care. <> To determine whether the HHA is in compliance with one or more or all additional conditions of participation not examined during the standard survey. An extended survey must be conducted not later than 14 calendar days after completion of a standard survey which found that a HHA was out of compliance with a condition of participation.", "<> The individual plan of care under § 441.155 must be developed by an interdisciplinary team of physicians and other personnel who are employed by, or provide services to patients in, the facility. <> Based on education and experience, preferably including competence in child psychiatry, the team must be capable of— <> Assessing the beneficiary's immediate and long-range therapeutic needs, developmental priorities, and personal strengths and liabilities; <> A clinical psychologist who has a doctoral degree and a physician licensed to practice medicine or osteopathy; or", "the KG modifier, whereas contract suppliers for the complex rehabilitative power wheelchair product category shall use the KK modifier. All suppliers, including grandfathered suppliers, shall submit claims for competitive bid items using the aforementioned competitive bidding modifiers. The KG and KK modifiers are used in Round I of the competitive bidding program and the KU and KW modifiers are reserved for future program use." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
