Docs: fix Training step by removing tokenizer from trainer initialization#43733
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stevhliu merged 2 commits intohuggingface:mainfrom Feb 4, 2026
Merged
Docs: fix Training step by removing tokenizer from trainer initialization#43733stevhliu merged 2 commits intohuggingface:mainfrom
stevhliu merged 2 commits intohuggingface:mainfrom
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…tion We already provide the tokenizer in the data_collator. Trying to provide the tokenizer parameter in the Trainer() __init__() method produces the following error: TypeError: Trainer.__init__() got an unexpected keyword argument 'tokenizer'
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Pull request overview
Updates the Quicktour training example to align with the current Trainer API by removing the deprecated/removed tokenizer argument, preventing a runtime TypeError during initialization.
Changes:
- Remove
tokenizer=tokenizerfrom theTrainer(...)initialization snippet in the Quicktour docs.
SunMarc
reviewed
Feb 4, 2026
| args=training_args, | ||
| train_dataset=dataset["train"], | ||
| eval_dataset=dataset["test"], | ||
| tokenizer=tokenizer, |
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we changed it to processing_class
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Thanks for the heads up, forgot that being optional does not mean it is not required for some cases.
I pushed the change and provided a similar replacement in 2 more docs
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Summary
This PR removes the deprecated tokenizer parameter from the Quicktour documentation examples.
As of the v5.0.0 release, the tokenizer argument was officially replaced from the Trainer constructor. Currently, the documentation example fails with a TypeError, preventing users from completing the introductory tutorial.
Changes
Location:
Action: Replaced tokenizer=tokenizer from the Trainer initialization by processing_class=tokenizer
Reasoning: The tokenizer is officially replaced by processing_class:
TypeError: Trainer.init() got an unexpected keyword argument 'tokenizer'
Related Resources
Breaking Change Reference: Transformers v5.0.0 Release Notes
Affected Doc Page: Quicktour - Training Step
Checklist
[x] This PR fixes a typo or improves the docs.
cc @stevhliu @SunMarc