ferret.Benchmark.score#

Benchmark.score(text: str, return_dict: bool = True, **kwargs)[source]#

Compute prediction scores for a single query

Parameters:
  • str (text) – query to compute the logits from

  • bool (return_dict) – return a dict in the format Class Label -> score. Otherwise, return softmaxed logits as torch.Tensor. Default True