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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/rembert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
Loïck BOURDOISTo help with the referencing of the dataset by indicating the languages included in the multilingual model, only the xx language tags are listed here because they are the only currently taken into account by HF (not the xx-XX)b4ef171
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Initial pass at model card.
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Update tokenizer config to match latest bugfixes, add tokenizer.json
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Initial version
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initial commit
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