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:
- 505f151024094fed1cdaf881363791dd023eefe2cb454a72c286769e3b077c72
- Size of remote file:
- 1.03 kB
- SHA256:
- 1987aa72e6e7749e2091e89f117ee5cbc5a6ec9761e297bfe19ba350431f3cf1
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