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