sentence-transformers How to use Gonalb/flucold-ft-v0 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Gonalb/flucold-ft-v0")
sentences = [
"QUESTION #1: What are the potential adverse effects associated with the use of peramivir?",
"although poultry-to-human and human-to-human trans -\nmission remains relatively low. Despite low transmissibility, \nthe reported fatality rate is high (approximately 60%).14\nPrevention\nThe Centers for Disease Control and Prevention’s (CDC’s) \nAdvisory Committee on Immunization Practices (ACIP) \nand the American Academy of Family Physicians (AAFP) \nrecommend annual influenza vaccination for all people six \nmonths and older who do not have contraindications. 15,16 \nVaccination efforts should target people at increased risk of \ncomplicated or severe influenza (Table 117-19) and those who \ncare for or live with high-risk individuals, including health \ncare professionals. 15 Two previous FPM articles provided",
"increased sensitivity to pain.60 These cytokines are also\nassociated with URTIs and may mediate mood changes\nassociated with these infections.\nAnorexia\nAnorexia is a common behavioural response to URTIs,\nand this response has entered the folklore as advice to\nFigure 4: Fever is caused by cytokines released from macrophages and other\nimmune cells\nThe cytokines may act on vagal nerve endings or enter the brain to cause a\nresetting of the temperature control centre in the hypothalamus. The\nhypothalamus causes shivering and constriction of skin blood vessels and also\ninitiates a sensation of chilliness that is perceived at the level of the cerebral\ncortex. IL=interleukin; TNF=tumour necrosis factor.\nVagal\nnerves\nShiveringMacrophages",
"older who have been \nsymptomatic for no \nmore than 48 hours\nContraindicated in people \nwith serious hypersensitivity or \nanaphylaxis to peramivir or any \ncomponent of the product\nPotential adverse effects include \ndiarrhea, nausea, vomiting, and \nneutropenia\nWeigh risks and benefits during \npregnancy; no human data \navailable; no known risk of \nembryo-fetal toxicity based on \nanimal data at 8 times the recom -\nmended human dose; possible \nrisk of embryo-fetal toxicity with \ncontinuous intravenous infusion \nbased on limited animal data\nBaloxavir (Xofluza), \navailable as oral \ntablets\nNA ($160) Adults and children 12 years \nand older: \n88 to 174 lb (40 to 79 kg): \nsingle dose of 40 mg \n≥ 175 lb (80 kg): single dose \nof 80 mg"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
