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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Is the config.json correct?
#1
by LeoWu2021 - opened
In json, "model_type": "deberta-v2". Is it correct?
I think it's v3 large, not v2.
Yes, the configuration is correct: the third version of DeBERTa uses the same architecture as deberta-v2.
julien-c changed discussion status to closed