Question Answering
Transformers
PyTorch
Safetensors
English
deberta-v2
deberta
deberta-v3
Eval Results (legacy)
Instructions to use deepset/deberta-v3-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/deberta-v3-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/deberta-v3-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/deberta-v3-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/deberta-v3-base-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit 路
fddfce4
1
Parent(s): 1c4ed4b
Update tokenizer_config.json
Browse files- tokenizer_config.json +0 -1
tokenizer_config.json
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"name_or_path": "./ver_5",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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