Instructions to use textattack/facebook-bart-large-QNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-large-QNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/facebook-bart-large-QNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-large-QNLI") model = AutoModelForSequenceClassification.from_pretrained("textattack/facebook-bart-large-QNLI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49dee9859b35e0362e9c30734ea07509f10412ba5cd5eb994d8557651e04a71a
- Size of remote file:
- 1.05 kB
- SHA256:
- f8f121511b25864f1ec9b791d3cf237ecd23779a54f3499e493096d57a1af697
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