Instructions to use microsoft/deberta-v2-xxlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v2-xxlarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v2-xxlarge")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v2-xxlarge", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58ba98b37f30784da7c5f065a7bbeccf450a6ed51929901f548e2dc4be373748
- Size of remote file:
- 3.14 GB
- SHA256:
- 421b7b47d28891477b21e8e5e97844dfcb5e03a12235dec3cad2f818dc22463b
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