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
| { | |
| "caveats_and_recommendations": {}, | |
| "ethical_considerations": {}, | |
| "evaluation_data": {}, | |
| "factors": {}, | |
| "intended_use": {}, | |
| "metrics": {}, | |
| "model_details": {}, | |
| "quantitative_analyses": {}, | |
| "training_data": {} | |
| } | |