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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a3d1820b9a6d67fedabeec3d2d8894a1a856027025384344128358deb1a47ed
- Size of remote file:
- 496 MB
- SHA256:
- f722c0d8bdeab4268db14af9321e4c3d7310c79a689e0745b8950ee0784de887
路
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