Instructions to use google-bert/bert-large-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-large-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-large-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-large-cased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-large-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#1) 0879dca
allow flax d923823
correct weights a25a4b0
add flax model 49121ce
track msgpcak 0a93963
Update code samples & dimensions f16a3c9
Migrate model card from transformers-repo fc67c89
For clarity, delete deprecated modelcard.json e78ea72
Add tokenizer configuration 93a42ff
Thomas Wolf commited on