Instructions to use microsoft/deberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-large")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-large", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6c964147868a6aab9e2d51b1c8282790481e4f561310864c8dba82980e377a7
- Size of remote file:
- 1.63 GB
- SHA256:
- 1591bfea3c99e9f1a5dba8a59f265b70ccb989b0a3bf719db18d221cf6cdc8fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.