Instructions to use microsoft/deberta-xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-xlarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-xlarge")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-xlarge", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b96358f398c0ea710a03264d46f380643ed6645bf443f497f765236f4e0532fa
- Size of remote file:
- 3.03 GB
- SHA256:
- 3315c8ab0e1791347d9b3092ce2a7c13437baf6fd5a0e223376028c32f7a9368
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