Instructions to use textattack/facebook-bart-large-WNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-large-WNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/facebook-bart-large-WNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-large-WNLI") model = AutoModelForSequenceClassification.from_pretrained("textattack/facebook-bart-large-WNLI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23645c9c42e100a6ef8938037d68c60b19ae3b26fda945d43f25e4a796ed93bb
- Size of remote file:
- 1.05 kB
- SHA256:
- 6393282659148cb2942797b086de7268768db9a836731311b489edea9fbcb356
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