How to use Cheselle/finetuned-arctic-sentence with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Cheselle/finetuned-arctic-sentence") sentences = [ "How can organizations tailor their measurement of GAI risks based on specific characteristics?", "3 \nthe abuse, misuse, and unsafe repurposing by humans (adversarial or not), and others result \nfrom interactions between a human and an AI system. \n• \nTime scale: GAI risks may materialize abruptly or across extended periods. Examples include \nimmediate (and/or prolonged) emotional harm and potential risks to physical safety due to the \ndistribution of harmful deepfake images, or the long-term effect of disinformation on societal \ntrust in public institutions.", "12 \nCSAM. Even when trained on “clean” data, increasingly capable GAI models can synthesize or produce \nsynthetic NCII and CSAM. Websites, mobile apps, and custom-built models that generate synthetic NCII \nhave moved from niche internet forums to mainstream, automated, and scaled online businesses. \nTrustworthy AI Characteristics: Fair with Harmful Bias Managed, Safe, Privacy Enhanced \n2.12. \nValue Chain and Component Integration", "case context. \nOrganizations may choose to tailor how they measure GAI risks based on these characteristics. They may \nadditionally wish to allocate risk management resources relative to the severity and likelihood of \nnegative impacts, including where and how these risks manifest, and their direct and material impacts \nharms in the context of GAI use. Mitigations for model or system level risks may differ from mitigations \nfor use-case or ecosystem level risks." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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