Instructions to use cliang1453/deberta-v3-base-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cliang1453/deberta-v3-base-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="cliang1453/deberta-v3-base-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("cliang1453/deberta-v3-base-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("cliang1453/deberta-v3-base-squadv2") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
82732f6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c92965d64cec68ca290f8991098a83cc66c7e5eab0981475219b5589bcdd373a
size 735405809
|