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
| { | |
| "epoch": 2.0, | |
| "train_loss": 1.0762882447665056, | |
| "train_runtime": 1067.9056, | |
| "train_samples": 317774, | |
| "train_samples_per_second": 616.543, | |
| "train_steps_per_second": 2.41 | |
| } |