Answer General Questions

Essentially Text-generation task. But uses Encoder-Decoder architecture, so might change in the future for more options.

Usage

hf_ez_text2text_generation(model_id = "google/flan-t5-large", use_api = FALSE)

Arguments

model_id

A model_id. Run hf_search_models(...) for model_ids. Defaults to 'google/flan-t5-small'.

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 text2text generation object

See also

https://huggingface.co/docs/api-inference/detailed_parameters#text2text-generation-task

Examples

if (FALSE) { # \dontrun{
# Load the default model and use local inference
ez <- hf_ez_text2text_generation()
ez$infer("Please answer the following question. What is the boiling point of Nitrogen?")

# Use the api for inference.
ez <- hf_ez_text2text_generation(use_api = TRUE)
ez$infer("Please answer the following question. What is the boiling point of Nitrogen?")
} # }