AMR-KELEG commited on
Commit
be2dd1d
·
1 Parent(s): 8600cf1

Update the docstring for the top_p method

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  1. eval_utils.py +1 -1
eval_utils.py CHANGED
@@ -3,7 +3,7 @@ from constants import DIALECTS, DIALECTS_WITH_LABELS
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  def predict_top_p(model, tokenizer, text, P=0.9):
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- """Predict the top dialects with an accumulative confidence of at least P."""
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  assert P <= 1 and P >= 0
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  logits = model(**tokenizer(text, return_tensors="pt")).logits
 
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  def predict_top_p(model, tokenizer, text, P=0.9):
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+ """Predict the top dialects with an accumulative confidence of at least P (set by default to 0.9)."""
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  assert P <= 1 and P >= 0
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  logits = model(**tokenizer(text, return_tensors="pt")).logits