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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c23d8b4dd646c8cace1d888bd4e9252b5bf6e985c0e659bdaad32e0d92df3bd9
- Size of remote file:
- 501 MB
- SHA256:
- 579addfc910ee81d17024344e9f3375add1954a160e3136214f5649761ff477d
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