hf_ez_zero_shot_classification_local_inference: Zero Shot Classification Local Inference

In huggingfaceR: Access 'Hugging Face' Models and Datasets

Zero Shot Classification Local Inference

Description

Zero Shot Classification Local Inference

Usage

hf_ez_zero_shot_classification_local_inference(
  string,
  candidate_labels,
  multi_label = FALSE,
  tidy = TRUE,
  ...
)

Arguments

string	a string or list of strings
candidate_labels	a list of strings that are potential classes for inputs. (max 10 candidate_labels, for more, simply run multiple requests, results are going to be misleading if using too many candidate_labels anyway. If you want to keep the exact same, you can simply run multi_label=True and do the scaling on your end. )
multi_label	(Default: false) Boolean that is set to True if classes can overlap
tidy	Whether to tidy the results into a tibble. Default: TRUE (tidy the results)
...	Additional arguments passed internally, including the model object or model ID.

Value

The results of the inference

See Also

https://huggingface.co/docs/transformers/main/en/pipeline_tutorial

huggingfaceR documentation built on Aug. 30, 2026, 1:06 a.m.