Instructions to use KRadim/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KRadim/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="KRadim/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("KRadim/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("KRadim/bert-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 749134932e757b863ce98578babbeecd726b653143e98c3770ed21a1975655f0
- Size of remote file:
- 5.78 kB
- SHA256:
- 53835f446ebb3aec960c6c9ce1aa3ddcd3835c9155d2d6cdfeebc90269a601bf
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