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:
- 4fb03cbcf330f875afbbd19f2e68b359b5656f9e24b3fda2446ea49c8f62a87c
- Size of remote file:
- 1.63 GB
- SHA256:
- ee8a349df162fb267fcbf6c008ecb8a37177a7509b529a0ce40f2c44a316f8ce
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