Question Answering
Transformers
PyTorch
TensorBoard
Habana
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use nbroad/rob-base-superqa2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/rob-base-superqa2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nbroad/rob-base-superqa2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nbroad/rob-base-superqa2") model = AutoModelForQuestionAnswering.from_pretrained("nbroad/rob-base-superqa2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add datasets
Browse files
README.md
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: rob-base-superqa2
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results: []
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license: mit
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tags:
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- generated_from_trainer
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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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model-index:
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- name: rob-base-superqa2
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results: []
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