Instructions to use ae-314/question_answering_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ae-314/question_answering_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ae-314/question_answering_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ae-314/question_answering_model") model = AutoModelForQuestionAnswering.from_pretrained("ae-314/question_answering_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbae28d1f1a68edb3559f2ef016f79daa6612507e88c8eda72d07df4b028926a
- Size of remote file:
- 5.14 kB
- SHA256:
- b6c0bb928a3a563e22c12539b406bdceb967e5d4c8465bd3f93a4e36c65fe477
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