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:
- 4d9292b51a76db68ed363a7f324fa6b207771fa76679721db981eb3bbc509edc
- Size of remote file:
- 1.52 GB
- SHA256:
- 34618faca5332b6ebf078c8e243c0f426c3dc39e299821d492530ef16ae81477
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