Instructions to use microsoft/deberta-v3-xsmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-xsmall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-xsmall")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-xsmall", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Add task to enable widget (#1)
- Add task to enable widget (79c19681226cddc96fe1d9625c8a3ed6dac79624) Co-authored-by: Lewis Tunstall <lewtun@users.noreply.huggingface.co>4b41981
-
Adding TF checkpoint
a4c41b1
-
Add generator
Pengcheng He43d13d5
-
Update README.md
94bd5bd -
Update README.md
5c3e29e -
Update README.md
280feda -
Add deberta xsmall model with 22M backbone parameters
Pengcheng He14809e4 -
initial commit
482677d