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
tensorflow version does not work.
#9
by ali-hooshmand - opened
We downloaded the tensorflow checkpoint (tf_model.h5) and tried it. But we get the following error:
"ValueError: No model config found in the file"
Based on our readings about this error, it seems the model has not been correctly saved.
Any advice to fix this?