Instructions to use korca/bae-roberta-base-mrpc-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/bae-roberta-base-mrpc-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="korca/bae-roberta-base-mrpc-5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("korca/bae-roberta-base-mrpc-5") model = AutoModelForSequenceClassification.from_pretrained("korca/bae-roberta-base-mrpc-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c3d6b899c17d21e597c21b7129a0cd54836dc788767a70dba11c68d99869a04
- Size of remote file:
- 499 MB
- SHA256:
- 0536426edd21329b42a3533899fb29c2d2e4fac5bb7ca63b18791eccbddfa848
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