Instructions to use mlcorelib/deberta-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlcorelib/deberta-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mlcorelib/deberta-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mlcorelib/deberta-base-uncased") model = AutoModelForMaskedLM.from_pretrained("mlcorelib/deberta-base-uncased") - Notebooks
- Google Colab
- Kaggle
Inconsistency between model name and the model architecture from config.json
#2 opened almost 3 years ago
by
jiang784
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot