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Label data using HuggingFace's transformers and automatically get a prediction service

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Describe the bug There are 2 problems: 1. After training ML backend model, I cannot find the model predictions in the UI when labelling. 2. Often cannot train all 100...

Hi, i have trained one bert ner model through ML backend. Then, I would like to share the trained model with my colleagues and they could use the model to...

On the initialitation process label-studio-ml init smdia-backend-ner --script models/ner.py --force I'm receiving this error to all the models `AttributeError: type object 'BertConfig' has no attribute 'pretrained_config_archive_map'` ``` Traceback (most recent...

'ALL_MODELS' is not needed and 'pretrained_config_archive_map' is deprecated. Fixed error in predictions for label-ends which lead to one label snaking the next one without accounting for 'O'-labels between them.

When I tried to reproduce the results in __ner.py__ file, I had to fix two errors. One of them was a typo. Specifically, each *completion* (item) in _fit_ method expects...

Bumps [transformers](https://github.com/huggingface/transformers) from 4.4.2 to 4.30.0. Release notes Sourced from transformers's releases. v4.30.0: 100k, Agents improvements, Safetensors core dependency, Swiftformer, Autoformer, MobileViTv2, timm-as-a-backbone 100k Transformers has just reached 100k stars...

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