Max Tkachenko comments

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                                            Max Tkachenko

KeyError: 'annotation' in fit() when handling /webhook events without annotation payload

Are you sure "Send payload" toggle is on in the Webhook settings? ![Image](https://github.com/user-attachments/assets/12cdec38-3692-47e1-a65c-57f804527b8d)

HTTP 403 Forbidden Error During Model Prediction Due to File Access Denial when using with Cloud Storage Sync

How does your `docker-compose.yml` look? Did you follow step #1 from https://github.com/HumanSignal/label-studio-ml-backend/blob/master/label_studio_ml/examples/yolo/README.md#quick-start ?

HTTP 403 Forbidden Error During Model Prediction Due to File Access Denial when using with Cloud Storage Sync

LABEL_STUDIO_URL=http://127.0.0.1:8089 This line is the same as the use of localhost. When you are inside of the docker, it won't work. In the example docker compose configuration it was a...

I want to create a RLHF backend/frontend for labelling<=>training<=>correcting error loop.

Have you checked active learning? https://docs.heartex.com/guide/active_learning.html https://www.youtube.com/watch?v=8EO4vOw1MZc

I want to create a RLHF backend/frontend for labelling<=>training<=>correcting error loop.

Yes, I know, but I expect to see your workflow in LS to achieve it. Seems you need Accept/Reject actions for your annotations? or ranking?

I want to create a RLHF backend/frontend for labelling<=>training<=>correcting error loop.

Maybe this repo will be helpful for you: https://github.com/heartexlabs/label-studio-RLHF/

I want to create a RLHF backend/frontend for labelling<=>training<=>correcting error loop.

@hemangjoshi37a Sorry, could you please check this one? https://github.com/heartexlabs/RLHF

ModuleNotFoundError: No module named '_sqlite3'

`sqlite` library is not installed on your system. Try to do this: ``` sudo apt-get install libsqlite3-dev ```

Fix S3 file storage import

@nikitabelonogov could you please create a mirror fb-PR for this one to run all tests?

i have set up ml-backend model for flair NER but model not predicting automatically. what is the solution to get the prediction.

Please send 1 logs from ml backend 2 logs from ls backend 3 screenshots 4 labeling config