Instructions to use Salesforce/discord_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/discord_qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Salesforce/discord_qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Salesforce/discord_qa") model = AutoModelForQuestionAnswering.from_pretrained("Salesforce/discord_qa") - Notebooks
- Google Colab
- Kaggle
Model card for the Question Answering component (component 2) of the Discord Questions paper (EMNLP 2022 - Findings). The model is a finetuned RoBERTa-large. Example usage coming soon.
Ethical Considerations
This release is for research purposes only in support of an academic paper. Our models, datasets, and code are not specifically designed or evaluated for all downstream purposes. We strongly recommend users evaluate and address potential concerns related to accuracy, safety, and fairness before deploying this model. We encourage users to consider the common limitations of AI, comply with applicable laws, and leverage best practices when selecting use cases, particularly for high-risk scenarios where errors or misuse could significantly impact people鈥檚 lives, rights, or safety. For further guidance on use cases, refer to our AUP and AI AUP.
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