Classify Texts into Pre-trained Categories — hf_ez_text_classification • huggingfaceR

Usually used for sentiment-analysis this will output the likelihood of classes of an input.

Usage

hf_ez_text_classification(
  model_id = "distilbert/distilbert-base-uncased-finetuned-sst-2-english",
  use_api = FALSE
)

Arguments

model_id: A model_id. Run hf_search_models(...) for model_ids. Defaults to 'distilbert-base-uncased-finetuned-sst-2-english'.
use_api: Whether to use the Inference API to run the model (TRUE) or download and run the model locally (FALSE). Defaults to FALSE

Value

A text classification object

See also

https://huggingface.co/docs/api-inference/detailed_parameters#text-classification-task

Examples

if (FALSE) { # \dontrun{
# Load the default model and use local inference
ez <- hf_ez_text_classification()
ez$infer(string = c('I like you. I love you'), flatten = FALSE)

# Use the api for inference.
ez <- hf_ez_text_classification(use_api = TRUE)
ez$infer(string = c('I like you. I love you'), flatten = FALSE)
} # }