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Fix code example in training tutorial (#21201)

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change text to sentence
This commit is contained in:
Steven Liu
2023-01-20 07:38:15 -08:00
committed by GitHub
parent 7419d807ff
commit 2553363826
1 changed files with 1 additions and 1 deletions
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docs/source/en/training.mdx
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@@ -184,7 +184,7 @@ so we can just convert that directly to a NumPy array without tokenization!
from transformers import AutoTokenizer from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
tokenized_data = tokenizer(dataset["text"], return_tensors="np", padding=True) tokenized_data = tokenizer(dataset["sentence"], return_tensors="np", padding=True)
# Tokenizer returns a BatchEncoding, but we convert that to a dict for Keras # Tokenizer returns a BatchEncoding, but we convert that to a dict for Keras
tokenized_data = dict(tokenized_data) tokenized_data = dict(tokenized_data)