Use country-focused SCPO model names in title and loading example
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- checksums.json +1 -1
README.md
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- chile
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- arxiv:2606.18606
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---
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# SCPO
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A scalar reward model fine-tuned on PRISM preference pairs from participants
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residing in Chile. Higher scores indicate a preferred response for the
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import torch
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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model_id = "MulticulturalAlignment/scpo-
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForSequenceClassification.from_pretrained(model_id).eval()
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inputs = tokenizer("How can I disagree respectfully?",
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- chile
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- arxiv:2606.18606
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---
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# SCPO Reward Model — Chile
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A scalar reward model fine-tuned on PRISM preference pairs from participants
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residing in Chile. Higher scores indicate a preferred response for the
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import torch
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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model_id = "MulticulturalAlignment/scpo-reward-model-chile"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForSequenceClassification.from_pretrained(model_id).eval()
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inputs = tokenizer("How can I disagree respectfully?",
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checksums.json
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{
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"LICENSE": "871f503d007714998cf2b9d35d73563b856182070552156771260aa3d12d953e",
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"README.md": "
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"added_tokens.json": "dc046d04c9b0ada7ae6f1dc89c465801799acdf0c9a6aab8c15a1b2d5ca4e91f",
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"config.json": "d88248219ef56b7227b25161fe83bfc1f949d77032367525b372270ef80bef17",
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"model.safetensors": "e5ae86eb89ac6cbfcd43c9f2fb7f449d1610c857fbe3f761753e4a2be0da2a9b",
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{
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"LICENSE": "871f503d007714998cf2b9d35d73563b856182070552156771260aa3d12d953e",
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+
"README.md": "50443b19a62c63184571f85534cae0034998e0edafb30b26b3887ec98f871e7f",
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"added_tokens.json": "dc046d04c9b0ada7ae6f1dc89c465801799acdf0c9a6aab8c15a1b2d5ca4e91f",
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"config.json": "d88248219ef56b7227b25161fe83bfc1f949d77032367525b372270ef80bef17",
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"model.safetensors": "e5ae86eb89ac6cbfcd43c9f2fb7f449d1610c857fbe3f761753e4a2be0da2a9b",
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