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In most cases, you will need to set `LABEL_STUDIO_URL` and `LABEL_STUDIO_API_KEY` environment variables to allow the ML backend access to the media data in Label Studio.
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[Read more in the documentation](https://labelstud.io/guide/ml#Allow-the-ML-backend-to-access-Label-Studio-data).
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**Warning:** Currently, ML backends support only Legacy Tokens and do not support Personal Tokens. You will encounter an `Unauthorized Error` if you use Personal Tokens.
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# Models
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The following models are supported in the repository. Some of them work without any additional setup, and some of them
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-`AWS_DEFAULT_REGION` - the region you want to use for S3
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-`S3_BUCKET` -- the name of the bucket where you'd like to store the created audio files
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-`S3_FOLDER` -- the name of the folder within the specified bucket where you'd like to store the audio files.
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3. Label Studio -- make sure you set your `LABEL_STUDIO_URL` and your `LABEL_STUDIO_API_KEY` in `docker_compose.yml`. As of 11/12/25, you must use the LEGACY TOKEN.
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3. Label Studio -- make sure you set your `LABEL_STUDIO_URL` and your `LABEL_STUDIO_API_KEY` in `docker_compose.yml`.
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## Labeling Config
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This is the base labeling config to be used with this backend. Note that you may add additional annotations to the document after the audio without breaking anything!
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