Instructions to use jgammack/SAE-roberta-base-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jgammack/SAE-roberta-base-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="jgammack/SAE-roberta-base-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("jgammack/SAE-roberta-base-squad") model = AutoModelForQuestionAnswering.from_pretrained("jgammack/SAE-roberta-base-squad") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 1 year ago
by
SFconvertbot
Add evaluation results on the adversarialQA config and validation split of adversarial_qa
#1 opened over 2 years ago
by
autoevaluator