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goldreal-ai
Unlocking latent intelligence.
This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Token classification.
Reported licenses: cc-by-sa-4.0. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Scores words for association with US, British, Australian and New Zealand English. Linear heads on a frozen encoder. Each word has character offsets, per-region probabilities and regions (regions above the calibrated threshold). Pass spans=[[(start, end),...]] to score phrases instead of single words.
Flags non-English words in mixed-language text. Linear heads on a frozen encoder: one for non-English words, one for likely names. Each word has character offsets, pnonenglish, nonenglishraw and namereview. Optional arguments: allowlist=[...] (words to keep as English) and threshold= (logit; default -3.68).