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google/realm-cc-news-pretrained-embedder
realm-cc-news-pretrained-embedder is a machine learning model from google. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
The REALM checkpoint pretrained with CC-News as target corpus and Wikipedia as knowledge corpus, converted from the TF checkpoint provided by Google Language.
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From the Hugging Face model README
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.
from transformers import RealmEmbedder
embedder = RealmEmbedder.from_pretrained("qqaatw/realm-cc-news-pretrained-embedder")