sentence-transformers How to use officialthinkingstack/Sentence-Matcher-v0.5 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("officialthinkingstack/Sentence-Matcher-v0.5")
sentences = [
"Patient reports increased joint pain, swelling, and morning stiffness associated with Rheumatoid Arthritis.\nThe patient describes worsening joint pain in the hands and knees, along with increased swelling and morning stiffness lasting over 60 minutes, over the past month.\nMusculoskeletal: Increased joint pain, swelling, morning stiffness.\nRheumatoid Arthritis, managed with disease-modifying antirheumatic drugs (DMARDs).\nWorsening symptoms in a patient with Rheumatoid Arthritis.",
"Chronic Obstructive Pulmonary Disease With (Acute) Exacerbation",
"Enteroviral Vesicular Stomatitis With Exanthem",
"Unspecified Juvenile Rheumatoid Arthritis Of Unspecified Site"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
