Instructions to use Areeb123/Question_Answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Areeb123/Question_Answering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Areeb123/Question_Answering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Areeb123/Question_Answering") model = AutoModelForQuestionAnswering.from_pretrained("Areeb123/Question_Answering") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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# Model Card for Model ID
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library_name: transformers
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- code
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license: mit
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datasets:
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- google-research-datasets/tydiqa
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language:
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- en
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metrics:
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- accuracy
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# Model Card for Model ID
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