hf_ez_summarization_api_inference: Summarization API Inference

View source: R/ez.R

hf_ez_summarization_api_inferenceR Documentation

Summarization API Inference

Description

Summarization API Inference

Usage

hf_ez_summarization_api_inference(
  string,
  min_length = NULL,
  max_length = NULL,
  top_k = NULL,
  top_p = NULL,
  temperature = 1,
  repetition_penalty = NULL,
  max_time = NULL,
  tidy = TRUE,
  use_gpu = FALSE,
  use_cache = FALSE,
  wait_for_model = FALSE,
  use_auth_token = NULL,
  stop_on_error = FALSE,
  ...
)

Arguments

string

a string to be summarized

min_length

Integer to define the minimum length in tokens of the output summary. Default: NULL

max_length

Integer to define the maximum length in tokens of the output summary. Default: NULL

top_k

Integer to define the top tokens considered within the sample operation to create new text. Default: NULL

top_p

Float to define the tokens that are within the sample operation of text generation. Add tokens in the sample for more probable to least probable until the sum of the probabilities is greater than top_p. Default: NULL

temperature

Float (0.0-100.0). The temperature of the sampling operation. 1 means regular sampling, 0 means always take the highest score, 100.0 is getting closer to uniform probability. Default: 1.0

repetition_penalty

Float (0.0-100.0). The more a token is used within generation the more it is penalized to not be picked in successive generation passes. Default: NULL

max_time

Float (0-120.0). The amount of time in seconds that the query should take maximum. Network can cause some overhead so it will be a soft limit. Default: NULL

tidy

Whether to tidy the results into a tibble. Default: TRUE (tidy the results)

use_gpu

Whether to use GPU for inference.

use_cache

Whether to use cached inference results for previously seen inputs.

wait_for_model

Whether to wait for the model to be ready instead of receiving a 503 error after a certain amount of time.

use_auth_token

The token to use as HTTP bearer authorization for the Inference API. Defaults to HUGGING_FACE_HUB_TOKEN environment variable.

stop_on_error

Whether to throw an error if an API error is encountered. Defaults to FALSE (do not throw error).

Value

The results of the inference

See Also

https://huggingface.co/docs/api-inference/index


farach/huggingfaceR documentation built on Feb. 4, 2023, 10:31 p.m.