Question Answering
Transformers
PyTorch
Graphcore
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use nbroad/rob-base-gc1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/rob-base-gc1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="nbroad/rob-base-gc1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nbroad/rob-base-gc1") model = AutoModelForQuestionAnswering.from_pretrained("nbroad/rob-base-gc1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#6 opened over 1 year ago
by
SFconvertbot
Librarian Bot: Update Hugging Face dataset ID
#5 opened about 2 years ago
by
librarian-bot
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
#4 opened over 3 years ago
by
autoevaluator
Add evaluation results on the default config of quoref
#3 opened over 3 years ago
by
autoevaluator
Add evaluation results on the squad_v2 config of squad_v2
#2 opened over 3 years ago
by
autoevaluator