Instructions to use google/realm-cc-news-pretrained-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/realm-cc-news-pretrained-encoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RealmKnowledgeAugEncoder model = RealmKnowledgeAugEncoder.from_pretrained("google/realm-cc-news-pretrained-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
realm-cc-news-pretrained-encoder
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 RealmKnowledgeAugEncoder
encoder = RealmKnowledgeAugEncoder.from_pretrained("qqaatw/realm-cc-news-pretrained-encoder")
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