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Fanaticpythoner Bertscore With Torch Dtype

Compute FanaticPythoner/bertscore-with-torch_dtype via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of FanaticPythoner/bertscore-with-torch_dtype.

qhjqhj00 2cc6800 1014 B Updated 3 repo stars
AI & ML

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fanaticpythoner-bertscore-with-torch-dtype

Metric FanaticPythoner/bertscore-with-torch_dtype from the HuggingFace evaluate library.

When to invoke

User asks to compute FanaticPythoner/bertscore-with-torch_dtype or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("FanaticPythoner/bertscore-with-torch_dtype")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

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

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