hf_ez_conversational: Create a Conversational Agent

In huggingfaceR: Access 'Hugging Face' Models and Datasets

Create a Conversational Agent

Description

This task corresponds to any chatbot like structure. Models tend to have shorter max_length, so please check with caution when using a given model if you need long range dependency or not.

Usage

hf_ez_conversational(model_id = "microsoft/DialoGPT-large", use_api = FALSE)

Arguments

model_id	A model_id. Run hf_search_models(...) for model_ids. Defaults to 'microsoft/DialoGPT-large'.
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 conversational object

See Also

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

Examples

## Not run: 
# Load the default model
ez <- hf_ez_conversational()

# Continue the conversation
ez$infer(
  past_user_inputs = list("Which movie is the best?"),
  generated_responses = list("It's Die Hard for sure."),
  text = "Can you explain why?",
  min_length = 10,
  max_length = 50
)

## End(Not run)

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