Instructions to use google-bert/bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Adding ONNX file of this model (#40) 1dbc166
Add Core ML conversion (#42) a265f77
Update README.md (#11) 5546055
allow flax b96743c
correct weights 345fd30
add flax model 7a93715
track msgpack b3409d9
Migrate model card from transformers-repo 2f86775
For clarity, delete deprecated modelcard.json 5f0832a
Add tokenizer configurations 1a7dd49
Thomas Wolf commited on