HF_BeforeBatchTransform {fastai} | R Documentation |
HF_BeforeBatchTransform
Description
Handles everything you need to assemble a mini-batch of inputs and targets, as well as decode the dictionary produced as a byproduct of the tokenization process in the 'encodes' method.
Usage
HF_BeforeBatchTransform(
hf_arch,
hf_tokenizer,
max_length = NULL,
padding = TRUE,
truncation = TRUE,
is_split_into_words = FALSE,
n_tok_inps = 1,
...
)
Arguments
hf_arch |
architecture |
hf_tokenizer |
tokenizer |
max_length |
maximum length |
padding |
padding or not |
truncation |
truncation or not |
is_split_into_words |
to split into words |
n_tok_inps |
number tok inputs |
... |
additional arguments |
Value
None
[Package fastai version 2.2.2 Index]