Instructions to use microsoft/deberta-v2-xlarge-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v2-xlarge-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/deberta-v2-xlarge-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-v2-xlarge-mnli") model = AutoModelForSequenceClassification.from_pretrained("microsoft/deberta-v2-xlarge-mnli") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ababb7987025f17ebb912bd112ff4b1762caac212cc45e3496695a749414914
- Size of remote file:
- 1.77 GB
- SHA256:
- cc41eeb065c6ab3f7e88f8dab756334abb1f77a1136fec8cf02442143934c253
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