Instructions to use google-bert/bert-base-cased-finetuned-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-cased-finetuned-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-cased-finetuned-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-cased-finetuned-mrpc") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-cased-finetuned-mrpc") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#1) ce0fc2e
upload flax model f53cb9c
allow flax 8e6fabd
Update .gitattributes 81ed84c
upload flax model 571ba31
allow flax de369ea
For clarity, delete deprecated modelcard.json ead3cf5
Add tokenizer configuration f7f2d67
Thomas Wolf commited on