Instructions to use NDugar/finetuned-bert-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/finetuned-bert-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NDugar/finetuned-bert-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NDugar/finetuned-bert-mrpc") model = AutoModelForSequenceClassification.from_pretrained("NDugar/finetuned-bert-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9508eaf9282f360ce8f9e88337049075224a807398e5081a4aff82f80bd8006c
- Size of remote file:
- 433 MB
- SHA256:
- caeacb5d3cca75c65b8d04ba8448862e57c4f3a5d05b94f4f93515fed1a32ba8
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