Tokenizing for Transformer Models
Subwords, padding, and attention masks.
Tokens Come First
Before a transformer can learn anything, your text must become numbers. That conversion job belongs to the tokenizer.
Match the Model
Always load the tokenizer that was trained with your model. A mismatched vocabulary produces garbage ids the model never saw.
from transformers import AutoTokenizer
tok = AutoTokenizer.from_pretrained("bert-base-uncased")All lessons in this course
- The Transformers Library Tour
- Tokenizing for Transformer Models
- Fine-Tuning With the Trainer API
- Evaluating and Saving Your Model