classify-zero-shot

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Zero-shot classification against a caller-supplied list of candidate labels (deberta-v3-small). Use when the user wants to classify text into a custom set of labels they provide (e.g. "is this positive, negative, or neutral?", "tag this as bug, feature, or question").

zerogpu By zerogpu schedule Updated 5/27/2026

name: classify-zero-shot description: Zero-shot classification against a caller-supplied list of candidate labels (deberta-v3-small). Use when the user wants to classify text into a custom set of labels they provide (e.g. "is this positive, negative, or neutral?", "tag this as bug, feature, or question"). argument-hint: " -l

Run zero-shot classification:

zerogpu classify_zero_shot $ARGUMENTS

Quoting (required, to survive shell parsing of arbitrary user text): format $ARGUMENTS with the input text wrapped via heredoc command substitution, then flags after. Inside the heredoc, paste the user's text verbatim — do not escape:

"$(cat <<'ZGPU_T'
<the input text, verbatim, multi-line and special chars all OK>
ZGPU_T
)" --labels a,b,c

At least one label is required. Either repeat -l <label> or pass --labels a,b,c.

Install via CLI
npx skills add https://github.com/zerogpu/zerogpu-router --skill classify-zero-shot
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