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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download .gitattributes from google-bert/bert-base-cased-finetuned-mrpc: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/google-bert/bert-base-cased-finetuned-mrpc/resolve/571ba311923cbd48c487a552cb6e94b722e08e3b/.gitattributes
- Command line
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hf download hf://google-bert/bert-base-cased-finetuned-mrpc@571ba311923cbd48c487a552cb6e94b722e08e3b/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/google-bert/bert-base-cased-finetuned-mrpc/resolve/571ba311923cbd48c487a552cb6e94b722e08e3b/.gitattributes
391 Bytes
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