GPT-2 BPE tokenization
Text pieces
Available merges
Always choose lowest rankToken IDs
Encoding
load the vocabulary and merge ranks # learned during training
split the input text into words # "my name" → ["my", " name"]
for each piece, from left to right: # outer loop
start with its byte tokens # preserve special tokens
while an adjacent pair has a merge rank:
take the pair with the lowest rank
merge its non-overlapping occurrences in this piece
append the remaining token IDs to the output
return the token IDs