Instructions to use textattack/roberta-base-WNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-WNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-WNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-WNLI") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-WNLI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8c1e51e14dd56271fa8754d6cf03ebc489d4db414e2b0987ad6a42d91d04888
- Size of remote file:
- 499 MB
- SHA256:
- 57d8e8c6138413703050c8b8c59773cc2edffe3368f322cd83d91aa6f14b1af8
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