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:
- 37166e5e75001e11570467ffb817196a53cd8cad8db9aa98ed106b2d06dd1ed2
- Size of remote file:
- 3.44 kB
- SHA256:
- 64fd49aeb41377c44c90115ce08ffeae031ffaa1486ada6974a784d8f6c331b8
路
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