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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="nbroad/rob-base-superqa1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nbroad/rob-base-superqa1") model = AutoModelForQuestionAnswering.from_pretrained("nbroad/rob-base-superqa1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_null_odds.json from nbroad/rob-base-superqa1: direct link, hf CLI and curl.
- Browser
- Download file 1.25 MB
-
https://huggingface.co/nbroad/rob-base-superqa1/resolve/refs%2Fpr%2F3/eval_null_odds.json
- Command line
-
hf download hf://nbroad/rob-base-superqa1@refs/pr/3/eval_null_odds.json
-
curl -L -o eval_null_odds.json https://huggingface.co/nbroad/rob-base-superqa1/resolve/refs%2Fpr%2F3/eval_null_odds.json
1.25 MB
File too large to display, you can check the raw version instead.