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
- Xet hash:
- d3ec56906cdbfb762fa61333f5291ca4b47e7a3d9fecb9f5cf31700de427ffae
- Size of remote file:
- 436 MB
- SHA256:
- b145e4c095df00c76a143eda3ff20c1751194b3e0471af604154fda08b5b135d
路
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