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:
# pip install -U transformers accelerate # Load model directly from transformers import RealmEmbedder model = RealmEmbedder.from_pretrained("google/realm-cc-news-pretrained-embedder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/realm-cc-news-pretrained-embedder: direct link, hf CLI and curl.
- Browser
- Download file 535 MB
-
https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/realm-cc-news-pretrained-embedder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/pytorch_model.bin
535 MB
- Xet hash:
- 333e06c86db8005174677ee44b71e809a603e19b158c04985b664ce7924adb3e
- Size of remote file:
- 535 MB
- SHA256:
- 82ebd92aa78846905f767e9b0d13d68da56df255c2c0d8bc4eb760a4e2e14467
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