Instructions to use microsoft/deberta-xxlarge-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-xxlarge-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-xxlarge-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
21131a5 -
Add model type
Pengcheng Hef46e2d7 -
Update README.md
57c0dd6 -
Add model type
Pengcheng He48ebb8e
-
Update README.md
fc7030f -
Update README.md
881d133
-
Update README.md
bfd4ce8 -
Update README.md
b6a2bc6 -
Update README.md
993f7d6 -
Update README.md
28b1d33 -
Update README.md
83432ec -
Update README.md
da93db7 -
Update README.md
2b201b4
-
Add vocab type config
Pengcheng Hefe8e92d
-
DeBERTa XXLarge V2 model
Pengcheng He076d65a
-
DeBERTa XXLarge v2 model
Pengcheng Hec47800e
-
DeBERTa V2 XXLarge 1.5B model
Pengcheng Hef8e1d65 -
DeBERTa V2 XXLarge 1.5B model
Pengcheng Hee0836cc
-
DeBERTa V2 XXLarge 1.5B model
Pengcheng Hedfcd5df -
initial commit
95496f0