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README.md
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@@ -36,6 +36,9 @@ for token in top_5_tokens:
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print(sequence.replace(tokenizer.mask_token, tokenizer.decode([token])))
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```
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### BibTeX entry and citation info
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If you use this model in your research, please consider citing our paper:
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print(sequence.replace(tokenizer.mask_token, tokenizer.decode([token])))
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```
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### Limitations and bias
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Some data used to pretrain gaBERT was scraped from the web which potentially contains ethically problematic text (bias, hate, adult content, etc.). Consequently, downstream tasks/applications using gaBERT should be thoroughly tested with respect to ethical considerations.
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### BibTeX entry and citation info
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If you use this model in your research, please consider citing our paper:
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