HF_QABatchTransform: HF_QABatchTransform

In fastai: Interface to 'fastai'

HF_QABatchTransform

Description

Handles everything you need to assemble a mini-batch of inputs and targets, as well as decode the dictionary produced

Usage

HF_QABatchTransform(
  hf_arch,
  hf_tokenizer,
  max_length = NULL,
  padding = TRUE,
  truncation = TRUE,
  is_split_into_words = FALSE,
  n_tok_inps = 1,
  hf_input_return_type = HF_QuestionAnswerInput(),
  ...
)

Arguments

hf_arch	architecture
hf_tokenizer	tokenizer
max_length	maximum length
padding	padding
truncation	truncation
is_split_into_words	to split into words or not
n_tok_inps	number of tok inputs
hf_input_return_type	input return type
...	additional arguments

Details

as a byproduct of the tokenization process in the 'encodes' method.

Value

None

fastai documentation built on March 31, 2023, 11:41 p.m.