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1.1 KiB
1.1 KiB
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| en |
bert-base-cased-conversational
Conversational BERT English, cased, 12‑layer, 768‑hidden, 12‑heads, 110M parameters was trained on the English part of Twitter, Reddit, DailyDialogues[1], OpenSubtitles[2], Debates[3], Blogs[4], Facebook News Comments. We used this training data to build the vocabulary of English subtokens and took English cased version of BERT‑base as an initialization for English Conversational BERT.
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