Question Answering
Transformers
PyTorch
TensorBoard
Habana
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use nbroad/rob-base-superqa1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/rob-base-superqa1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nbroad/rob-base-superqa1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nbroad/rob-base-superqa1") model = AutoModelForQuestionAnswering.from_pretrained("nbroad/rob-base-superqa1") - Notebooks
- Google Colab
- Kaggle
add datasets to frontmatter
Browse files
README.md
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task:
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- question-answering
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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results: []
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task:
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- question-answering
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datasets:
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- squad_v2
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- quoref
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- adversarial_qa
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- duorc
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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