Comments (3)
Hi, @RevelaAutumn ! Thanks reporting this. Can you please drop here an issue log of what's happening after connecting to label-studio-ml-backend ? (Indeed, the ML backend has been moved to a separate repo, but API hasn't changed)
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Hi @niklub , I never even get there, the issue log would be
~ label-studio-ml
pyenv: label-studio-ml: command not found
Really I'm just saying that the requirements.txt shouldn't permit label-studio v1.0 until the transformers project has been tested with it!
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Hi, @RevelaAutumn
Label Studio 1.0. compatibility issues have been fixed in the latest master, please try it out and reopen the issue In case you get any problem
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Related Issues (14)
- AttributeError: 'TransformersBasedTagger' object has no attribute '_tokenizer' HOT 10
- No module named label_studio_ml.api while starting ML backend HOT 1
- not showing predictions after training HOT 17
- Error with ner.py HOT 2
- When predict ner datas use ner samples [KeyError: 'ner'] has been occured HOT 1
- How do I know which model is trained for ner? HOT 2
- How to load trained bert ner model in python and do prediction on a new text?
- --ml-backend-url option changed and where should i put --ml-backend-name ? HOT 4
- TypeError: TransformersBasedTagger.__init__() takes 1 positional argument but 2 were given HOT 1
- How to use the prediction service? HOT 11
- Complicated
- Can't make predictions: ML backend returns an error (ner.py) HOT 3
- Ner.py pretrained_config_archive_map not found for any model HOT 3
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