Instructions to use google-bert/bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-cased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md a8d257b
allow flax af58a38
correct weights 74d9687
add flax model 393e083
track msgpcak 23880ae
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Migrate model card from transformers-repo 7e783df
For clarity, delete deprecated modelcard.json 6fe1c53
upload flax 3a36fbe
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