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README.md
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# t5-base-japanese-web (with Byte-fallback)
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## Description
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[megagonlabs/t5-base-japanese-web](https://huggingface.co/megagonlabs/t5-base-japanese-web) is a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.
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Training codes are [available on GitHub](https://github.com/megagonlabs/t5-japanese).
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### Corpora
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We used following corpora for pre-training.
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- 828,236 articles (2,073,584 examples)
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- 2 GB in TFRecord format
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### Tokenizer
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We used Japanese Wikipedia to train [SentencePiece](https://github.com/google/sentencepiece).
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Apache License 2.0
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## Citations
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- mC4
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- wiki40b
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# t5-base-japanese-web (with Byte-fallback, 32K)
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## Description
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[megagonlabs/t5-base-japanese-web](https://huggingface.co/megagonlabs/t5-base-japanese-web) is a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.
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Training codes are [available on GitHub](https://github.com/megagonlabs/t5-japanese).
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The vocabulary size of this model is 32K.
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[8K version is also available](https://huggingface.co/megagonlabs/t5-base-japanese-web-8k).
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### Corpora
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We used following corpora for pre-training.
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- 828,236 articles (2,073,584 examples)
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- 2 GB in TFRecord format
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### Tokenizer
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We used Japanese Wikipedia to train [SentencePiece](https://github.com/google/sentencepiece).
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Apache License 2.0
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## Citations
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- mC4
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