transformer_vocab: Returns the vocabulary of a model

In pangoling: Access to Large Language Model Predictions

Returns the vocabulary of a model

Description

Returns the (decoded) vocabulary of a model.

Usage

transformer_vocab(
  model = getOption("pangoling.causal.default"),
  add_special_tokens = NULL,
  decode = FALSE,
  config_tokenizer = NULL
)

Arguments

model	Name of a pre-trained model or folder. One should be able to use models based on "gpt2". See hugging face website.
add_special_tokens	Whether to include special tokens. It has the same default as the AutoTokenizer method in Python.
decode	Logical. If TRUE, decodes the tokens into human-readable strings, handling special characters and diacritics. Default is FALSE.
config_tokenizer	List with other arguments that control how the tokenizer from Hugging Face is accessed.

Value

A vector with the vocabulary of a model.

See Also

Other token-related functions: ntokens(), tokenize_lst()

Examples

transformer_vocab(model = "gpt2") |>
 head()

pangoling documentation built on April 11, 2025, 6:16 p.m.