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
- Xet hash:
- d08d215ef989d62661bef98eea718f7e020c52e9e9081f107d10a221502234fd
- Size of remote file:
- 3.44 kB
- SHA256:
- 85c4c105506188b2e03dae40314aaf28fa7ffe601b739c159d99b3f891b74998
路
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