Instructions to use google-bert/bert-large-cased-whole-word-masking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-large-cased-whole-word-masking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-large-cased-whole-word-masking")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-large-cased-whole-word-masking") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-large-cased-whole-word-masking") - Notebooks
- Google Colab
- Kaggle
What is a whole word?
#4 opened about 19 hours ago
by
denis-kazakov
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot