Instructions to use google-bert/bert-base-multilingual-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-multilingual-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-multilingual-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-multilingual-uncased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-multilingual-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
allow flax 99406b9
Update .gitattributes e257cf2
upload flax model 69bd4a8
allow flax 373894a
Migrate model card from transformers-repo 4bb6651
For clarity, delete deprecated modelcard.json a374198
Add tokenizer configuration d11aae0
Thomas Wolf commited on