Question Answering
Transformers
PyTorch
Safetensors
English
deberta-v2
deberta
deberta-v3
deberta-v3-large
Eval Results (legacy)
Instructions to use deepset/deberta-v3-large-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/deberta-v3-large-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/deberta-v3-large-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/deberta-v3-large-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/deberta-v3-large-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e32ce969cd6eae4858e29c6dc1acbe6215e6c6844ce53debe66913cc784c43d
- Size of remote file:
- 8.65 MB
- SHA256:
- 7fb827d15550c884144bec6129b81d7ee7cc42c7181a678aa6b408c04a03d764
路
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