Instructions to use google/rembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/rembert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/rembert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sentencepiece.model from google/rembert: direct link, hf CLI and curl.
- Browser
- Download file 4.7 MB
-
https://huggingface.co/google/rembert/resolve/refs%2Fpr%2F1/sentencepiece.model
- Command line
-
hf download hf://google/rembert@refs/pr/1/sentencepiece.model
-
curl -L -o sentencepiece.model https://huggingface.co/google/rembert/resolve/refs%2Fpr%2F1/sentencepiece.model
4.7 MB
- Xet hash:
- 5612a7273914dd3f1baf41077e91a8a0d6fbac302da2c59bb8bcfc6857738489
- Size of remote file:
- 4.7 MB
- SHA256:
- 67ce12ea4550e57af39217a75686a61695e34edbb1c9892f82f0b861d73a4482
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