Instructions to use sc2qa/msmarco_qa_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sc2qa/msmarco_qa_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sc2qa/msmarco_qa_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sc2qa/msmarco_qa_classifier") model = AutoModelForSequenceClassification.from_pretrained("sc2qa/msmarco_qa_classifier") - Notebooks
- Google Colab
- Kaggle
Create README.md
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README.md
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For details, please check our project's Github repo https://github.com/amazon-research/SC2QA-DRIL and our paper [Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning](https://arxiv.org/pdf/2109.04689.pdf).
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