transformers
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huggingface
NER Training on custom Data
https://github.com/huggingface/transformers/blob/4c962d5e790d06c142af35aad165c74c0bcf861a/examples/pytorch/token-classification/run_ner.py#L200
README.md mentions providing text files for training and validation, however, run_ner.py expects CSV or JSON files only.
I have the same question! Can anyone tell me how to design my custom data file format? Thank u!!
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@sgugger @WeiShi-9 @akshaydhok07 @vanpelt @pvl I have the same problem, how to set custom data for trainning with the pipeline
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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 are likely to be ignored.
@sgugger The similar question has been created in the forum, but no one handle it. Also, the similar issue actually hasn't been solved in https://github.com/huggingface/transformers/issues/8698 . If you can provide a tiny example for csv or json format in README, that should be very helpful. 😃
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 are likely to be ignored.
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 are likely to be ignored.
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 are likely to be ignored.
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 are likely to be ignored.
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 are likely to be ignored.
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 are likely to be ignored.
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 are likely to be ignored.