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:
- 76decf6a00faf31aae2b4218dc8b7f9fa8a98fba4f8a01a93dd340c2a17f2516
- Size of remote file:
- 1.74 GB
- SHA256:
- 20462c6c76990df31b0e82ee5d1e2b7cb06e0a3823334149fbb3b169826ed476
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