Qlemesle Parapluie

Compute qlemesle/parapluie via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of qlemesle/parapluie.

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qlemesle-parapluie

Metric qlemesle/parapluie from the HuggingFace evaluate library.

When to invoke

User asks to compute qlemesle/parapluie or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("qlemesle/parapluie")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house qlemesle/parapluie matches HF — version conventions vary.
  • Many evaluate metrics have task-specific arguments (average=, lang=, model_type=); read the metric card before reporting numbers.

qhjqhj00/research-skills-pool/tree/main/skill-factory/output/qlemesle-parapluie commit fb25978732

Frequently asked questions

npx skillmds add qhjqhj00/qlemesle-parapluie