Instructions to use deepset/bert-base-cased-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/bert-base-cased-squad2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="deepset/bert-base-cased-squad2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/bert-base-cased-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/bert-base-cased-squad2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#4)
- Adding `safetensors` variant of this model (335920533192b759e8dc324ccd353e45a9a36ea8) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>2a255b7
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#3)
Sebastian +1: autoevaluator - Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (91a9ee88da16cbd2dcc57b17f492fac881925e35) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>68ffb81
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Add evaluation results on the squad_v2 config of squad_v2 (#1)
- Add evaluation results on the squad_v2 config of squad_v2 (4165db098610f3b1fa92c9870dc370c7c702e826) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>4253cf6
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We now use the README.md model card instead Approved-by: Julien Chaumond <julien@huggingface.co>af39547
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