How to use atx-labs/snowflake-custom-noise-tsdae-cfr-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("atx-labs/snowflake-custom-noise-tsdae-cfr-finetuned") sentences = [ "[CLAUSE 3] The national limited monthly payment rate for items described in paragraph (c)(1)(ii) of this section is equal to the weighted average of the fee schedule amounts established under paragraph (b)(5) of this section. [CLAUSE 4] The national limited monthly payment rate for items described in paragraph (c)(1)(iii) of this section is equal to the national limited monthly payment rate established under paragraph (c)(5) of this section, multiplied by 24, and divided by 36. [CLAUSE 5] The national limited monthly payment rate for items described in paragraphs (c)(1)(iv) and (c)(1)(v) of this section is equal to 50 percent of the weighted average fee schedule amounts established under paragraph (b)(3) of this section for items described in paragraph (b)(1)(iii) of this section.", "occupational history and respiratory assessment information obtained from a miner will not be disclosed in a manner that would permit identification of the individual miner with his or her information; and [ITEM iii] The spirometry and radiographic examinations will be made at no charge to the miner.", "[CLAUSE 3] The national limited monthly payment rate for items described in paragraph (c)(1)(ii) of this section is equal to the weighted average of the fee schedule amounts established under paragraph (b)(5) of this section. [CLAUSE 4] The national limited monthly payment rate for items described in paragraph (c)(1)(iii) of this section is equal to the national limited monthly payment rate established under paragraph (c)(5) of this section, multiplied by 24, and divided by 36. [CLAUSE 5] The national limited monthly payment rate for items described in paragraphs (c)(1)(iv) and (c)(1)(v) of this section is equal to 50 percent of the weighted average fee schedule amounts established under paragraph (b)(3) of this section for items described in paragraph (b)(1)(iii) of this section.", "[SUBSECTION B] It includes a detailed and comprehensive review of each patient's condition and medical history, including the patient's level of function prior to the event or condition that led to the patient's need for intensive rehabilitation therapy, expected level of improvement, and the expected length of time necessary to achieve that level of improvement; an evaluation of the patient's risk for clinical complications; the conditions that caused the need for rehabilitation; the treatments needed (that is, physical therapy, occupational therapy, speech-language pathology, or prosthetics/orthotics); and anticipated discharge destination." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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