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") - Notebooks
- Google Colab
- Kaggle
Commit History
Add deepspeed config 5385f0f
Pengcheng He commited on
Update README.md 701b7f5
Update README.md 8d1c7bf
Enable host API 4da4c7b
Pengcheng He commited on
Enable host API 58a41ea
Pengcheng He commited on
Add number of labels in config 87361b1
Pengcheng He commited on
Update README.md bce9c35
Add DeBERTa XXLarge(1.5B) model fine-tuned with MNLI task 336ff42
Pengcheng He commited on