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
File size: 135 Bytes
397c2bf | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6191f9ee19831eabcf5376d1eb3d0d0d7aa1589e0f91e4975fd596a76c949a03
size 1338740706
|