Instructions to use microsoft/deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
fine-tuning the deberta on token length greater than 512
#16
by iamhdave - opened
I want to fine-tune the deberta model for my specific use case. In this the context length is around 1200 tokens, do any one face any issue in fine-tuning when the token length is greater than the limit 512?