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 from transformers import pipeline pipe = pipeline("question-answering", model="deepset/bert-base-cased-squad2")# 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
- Xet hash:
- bdfb4c6c03b4415883f58c946efaf73ffb041e10cef6b25dbd40162c8200fbb8
- Size of remote file:
- 433 MB
- SHA256:
- 4f7cda139f23692c57757e7f71e71ed25107de904c4135f40ab1c511759f8d70
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