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
File size: 134 Bytes
4780863 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c6834dc699a39051f9c5f7a547613201de3b43cfec84e79c77942a8c52cb1db8
size 498679699
|