Instructions to use DunnBC22/bert-base-uncased-Q_and_A-Answer_Prediction_Dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/bert-base-uncased-Q_and_A-Answer_Prediction_Dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DunnBC22/bert-base-uncased-Q_and_A-Answer_Prediction_Dataset")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("DunnBC22/bert-base-uncased-Q_and_A-Answer_Prediction_Dataset") model = AutoModelForQuestionAnswering.from_pretrained("DunnBC22/bert-base-uncased-Q_and_A-Answer_Prediction_Dataset") - Notebooks
- Google Colab
- Kaggle
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