fastai: HF_QABatchTransform – R documentation

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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

Interface to 'fastai'

v2.0.7

Apache License 2.0

Authors

Turgut Abdullayev [ctb, cre, cph, aut]

Initial release

HF_QABatchTransform

Description

Usage

Arguments

Details

Value

fastai

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