Instructions to use microsoft/deberta-v2-xxlarge-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v2-xxlarge-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/deberta-v2-xxlarge-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-v2-xxlarge-mnli") model = AutoModelForSequenceClassification.from_pretrained("microsoft/deberta-v2-xxlarge-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Add DeBERTa XXLarge(1.5B) model fine-tuned with MNLI task 336ff42
Pengcheng He commited on