Instructions to use korca/bae-roberta-base-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/bae-roberta-base-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="korca/bae-roberta-base-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("korca/bae-roberta-base-mrpc") model = AutoModelForSequenceClassification.from_pretrained("korca/bae-roberta-base-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c1efb29e9cbe38c98cb49f91c5c28a3a91743a9d2c1f5214bee7105b151951f
- Size of remote file:
- 499 MB
- SHA256:
- 05043cf9a56fb5cf6ca49ae0c9e35ea0b7cae5b9aa8f653724d5feb8bdedfa2f
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