Machine Learning, AI, NLP, Programming, Deep Dives.
batched=True) dataset_encoded dataset_encoded.set_format(type='torch', columns=['input_ids', 'attention_mask', 'labels']) We also need to fetch a data collator to handle padding for our inputs. from transformers import DataCollatorWithPadding data_collator = DataCollatorWithPadding(tokenizer)