Instructions to use deepset/bert-base-uncased-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/bert-base-uncased-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/bert-base-uncased-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/bert-base-uncased-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/bert-base-uncased-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#6) 964609e
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#5) 014bda2
Update README.md 33f1817
Add evaluation results on the squad_v2 config of squad_v2 (#1) 932875d
Update README.md 3ecf403
Update README.md 84967b9
Create README.md 7a8202c
add model 83cb4ad
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