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
Tokenizer and model vocab size different
#8
by abpani1994 - opened
(deberta): DebertaV2Model(
(embeddings): DebertaV2Embeddings(
(word_embeddings): Embedding(128100, 1024, padding_idx=0)
tokenizer.vocab_size = 128000