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
# 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")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-cased-finetuned-mrpc")