Instructions to use microsoft/deberta-v3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-large")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-large", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bf604e0344f158831a639481826026f84828a0f38efeab21e43b6ed6e185a03
- Size of remote file:
- 874 MB
- SHA256:
- dd5b5d93e2db101aaf281df0ea1216c07ad73620ff59c5b42dccac4bf2eef5b5
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