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
File size: 135 Bytes
1f2d52b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:34618faca5332b6ebf078c8e243c0f426c3dc39e299821d492530ef16ae81477
size 1518990915
|