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README.md
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@@ -81,6 +81,9 @@ model = MauBERTFeat.from_pretrained("coml/maubert-feat")
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Check out the [`maubert`](https://github.com/bootphon/maubert) repository if you are interested in further retraining
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or fine-tuning, and the [corresponding paper](https://aclanthology.org/2026.acl-long.24/) for our results.
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## Files:
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- `model.safetensors` and `config.json`: HuggingFace Transformers checkpoint and config.
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Check out the [`maubert`](https://github.com/bootphon/maubert) repository if you are interested in further retraining
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or fine-tuning, and the [corresponding paper](https://aclanthology.org/2026.acl-long.24/) for our results.
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The quantisation models used to turn its features into the pseudo-labels of the paper are released in
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[`coml/maubert-quantisers`](https://huggingface.co/coml/maubert-quantisers).
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## Files:
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- `model.safetensors` and `config.json`: HuggingFace Transformers checkpoint and config.
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