mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-04 21:30:07 +06:00
783d7d2629
* Reorganize example folder * Continue reorganization * Change requirements for tests * Final cleanup * Finish regroup with tests all passing * Copyright * Requirements and readme * Make a full link for the documentation * Address review comments * Apply suggestions from code review Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Add symlink * Reorg again * Apply suggestions from code review Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com> * Adapt title * Update to new strucutre * Remove test * Update READMEs Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>
42 lines
993 B
Python
42 lines
993 B
Python
import sys
|
|
|
|
from transformers import AutoTokenizer
|
|
|
|
|
|
dataset = sys.argv[1]
|
|
model_name_or_path = sys.argv[2]
|
|
max_len = int(sys.argv[3])
|
|
|
|
subword_len_counter = 0
|
|
|
|
tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
|
|
max_len -= tokenizer.num_special_tokens_to_add()
|
|
|
|
with open(dataset, "rt") as f_p:
|
|
for line in f_p:
|
|
line = line.rstrip()
|
|
|
|
if not line:
|
|
print(line)
|
|
subword_len_counter = 0
|
|
continue
|
|
|
|
token = line.split()[0]
|
|
|
|
current_subwords_len = len(tokenizer.tokenize(token))
|
|
|
|
# Token contains strange control characters like \x96 or \x95
|
|
# Just filter out the complete line
|
|
if current_subwords_len == 0:
|
|
continue
|
|
|
|
if (subword_len_counter + current_subwords_len) > max_len:
|
|
print("")
|
|
print(line)
|
|
subword_len_counter = current_subwords_len
|
|
continue
|
|
|
|
subword_len_counter += current_subwords_len
|
|
|
|
print(line)
|