Profile My skills Saved Collections Edit profile Submit a skill

Alhitawimohammed22 Cer Hu Evaluation Metrics

Compute AlhitawiMohammed22/CER_Hu-Evaluation-Metrics via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of AlhitawiMohammed22/CER_Hu-Evaluation-Metrics.

qhjqhj00 5c98759 1.0 KB Updated 3 repo stars
AI & ML

File contents

alhitawimohammed22-cer-hu-evaluation-metrics

Metric AlhitawiMohammed22/CER_Hu-Evaluation-Metrics from the HuggingFace evaluate library.

When to invoke

User asks to compute AlhitawiMohammed22/CER_Hu-Evaluation-Metrics or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("AlhitawiMohammed22/CER_Hu-Evaluation-Metrics")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house AlhitawiMohammed22/CER_Hu-Evaluation-Metrics 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/alhitawimohammed22-cer-hu-evaluation-metrics commit 5c98759568

Browse category

Frequently asked questions

npx skillmds add qhjqhj00/alhitawimohammed22-cer-hu-evaluation-metrics