How to use qnhat/bge-small-scifact-rrf with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("qnhat/bge-small-scifact-rrf") sentences = [ "Alcohol Sales and Risk of Serious Assault BACKGROUND Alcohol is a contributing cause of unintentional injuries, such as motor vehicle crashes. Prior research on the association between alcohol use and", "Potential consequences of replacing a retail alcohol monopoly with a private licence system: results from Sweden. AIM To examine the potential effects of replacing the Swedish alcohol retail system with a private licensing system on alcohol consumption and alcohol-related harm. DESIGN Two possible scenarios were analysed: (1) replacing the current alcohol retail monopoly with private licensed stores that specialize in alcohol sales or (2) making all alcohol available in grocery stores. We utilized a multipl", "Alcohol use and burden for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 Summary Background Alcohol use is a leading risk factor for death and disability, but its overall association with health remains complex given the possible protective effects of moderate alcohol consumption on some conditions. With our comprehensive approach to health accounting within the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we generated improv", "The DNA Damage Machinery and Homologous Recombination Pathway Act Consecutively to Protect Human Telomeres Telomeres protect chromosome ends from being detected as lesions and from triggering DNA damage checkpoints. Paradoxically, telomere function depends on checkpoint proteins such as ATM and ATR, but a molecular model explaining this seemingly contradictory relationship has been missing so far. Here we show that the DNA damage machinery acts on telomeres in at least two independent steps. First, the ATR-" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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