Instructions to use patrickvonplaten/bert-glue-mrpc-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/bert-glue-mrpc-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="patrickvonplaten/bert-glue-mrpc-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/bert-glue-mrpc-test") model = AutoModelForSequenceClassification.from_pretrained("patrickvonplaten/bert-glue-mrpc-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84e3ee11776761648039aa47cc6c71d2b0ffd91f2b99d578ab69a5a64239291e
- Size of remote file:
- 433 MB
- SHA256:
- 5744dfa64481da001a006ab6b11278edb37cd50b85cfe9e21d455f8c5ecb8f3e
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