google/realm-cc-news-pretrained-scorer

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pytorch_model.bin
f62a7a516827ef279c5406fe6d1f3544f507bd8d4e6602250bcba633cc6caec4

vocab.txt
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.gitattributes
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config.json
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README.md
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tokenizer_config.json
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special_tokens_map.json
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realm-cc-news-pretrained-scorer

Model description

The REALM checkpoint pretrained with CC-News as target corpus and Wikipedia as knowledge corpus, converted from the TF checkpoint provided by Google Language.

The original paper, code, and checkpoints can be found here.

Usage

from transformers import RealmScorer

scorer = RealmScorer.from_pretrained("qqaatw/realm-cc-news-pretrained-scorer")

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