Instructions to use VMware/bert-base-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/bert-base-mrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VMware/bert-base-mrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VMware/bert-base-mrqa") model = AutoModelForQuestionAnswering.from_pretrained("VMware/bert-base-mrqa") - Notebooks
- Google Colab
- Kaggle
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This model release is part of a joint research project with Howard University's
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# Model Details
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This model release is part of a joint research project with Howard University's Innovation Foundry/AIM-AHEAD Lab.
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# Model Details
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