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
| {"do_lower_case": false, "model_max_length": 512} |