Instructions to use ashaduzzaman/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashaduzzaman/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ashaduzzaman/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ashaduzzaman/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("ashaduzzaman/bert-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 495c9900339225abfd42279d88f8054f45b9f40a6861aa0c202b28e3e8a848bc
- Size of remote file:
- 5.11 kB
- SHA256:
- 9ea2340a2aff44147e885419fd7319ca31d1cf54ccd3cf921fc0d0f946d33da0
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