Instructions to use ModelTC/roberta-base-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/roberta-base-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModelTC/roberta-base-rte")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ModelTC/roberta-base-rte") model = AutoModelForSequenceClassification.from_pretrained("ModelTC/roberta-base-rte") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85c884fdc45c1ace1c6578181b536bc36cb572d77ee699942f2992ad60cb2681
- Size of remote file:
- 499 MB
- SHA256:
- c6834dc699a39051f9c5f7a547613201de3b43cfec84e79c77942a8c52cb1db8
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