After reading my x train values, what is the way to preserve the DistilBertTokenizer tokenizer?

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To preserve the DistilBertTokenizer tokenizer, you can save it as a file using the PyTorch save_pretrained() method. Here is an example:

from transformers import DistilBertTokenizer

tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-uncased')

train_texts = [...]  # list of training texts

# Tokenize the training texts
train_encodings = tokenizer(train_texts, truncation=True, padding=True)

# Save the tokenizer
tokenizer.save_pretrained('/path/to/tokenizer')

The save_pretrained() method saves the tokenizer configuration file and the vocabulary file to the specified directory. You can then load the tokenizer later using the from_pretrained() method:

from transformers import DistilBertTokenizer

tokenizer = DistilBertTokenizer.from_pretrained('/path/to/tokenizer')

This will load the tokenizer configuration and vocabulary from the directory, allowing you to tokenize new texts using the same vocabulary and settings as before.