Instructions to use google-bert/bert-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-large-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-large-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-large-uncased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-large-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
addition of Rust model (#2) 3c3da4a verified
allow flax 3835a19
correct weights d425f49
add flax model 34e96ae
track msgpack 33c3980
Update dimensions b7e919f
Update evaluation results 1088516
Create README.md cdbfa29
For clarity, delete deprecated modelcard.json 0ce9a5b
Add tokenizer configuration 3645be0
Thomas Wolf commited on