can I use different pre-trained model for autoTokenizer and autoModel?
In the train_config.json file, I set:
"model_name_or_path": "ckiplab/albert-tiny-chinese",
 "tokenizer_name": "bert-base-chinese",

this also make sense right?
This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.<|||||>Sorry just seeing this now - you can use different tokenizer/models, but be aware that if they were not trained together then the embeddings of the model will not correspond to the IDs output by the tokenizer. The result will be gibberish, unfortunately.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.