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@@ -28,4 +28,13 @@ You can use this model with Transformers *pipeline* for masked token prediction.
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  We thank [@stefan-it](https://github.com/stefan-it) for providing the pre-processing and pre-training scripts. Finally, we would like to thank Google Cloud for providing us access to TPU v3-8 through the free cloud credits. Model trained using flax, before converted to pytorch.
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- ### BibTeX entry and citation info.
 
 
 
 
 
 
 
 
 
 
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  We thank [@stefan-it](https://github.com/stefan-it) for providing the pre-processing and pre-training scripts. Finally, we would like to thank Google Cloud for providing us access to TPU v3-8 through the free cloud credits. Model trained using flax, before converted to pytorch.
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+ ### BibTeX entry and citation info.
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+
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+ @misc{david_adelani_2023,
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+ author = { David Adelani },
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+ title = { oyo-bert-base (Revision f9d07fb) },
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+ year = 2023,
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+ url = { https://huggingface.co/Davlan/oyo-bert-base },
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+ doi = { 10.57967/hf/5857 },
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+ publisher = { Hugging Face }
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+ }