kikwaib/mt5-base-kenswquad-abstractive
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KenSwQuAD Abstractive QA
This Space provides an interactive demo for abstractive question answering in Kenyan Swahili using the fine-tuned kikwaib/mt5-base-kenswquad-abstractive model.
How to Use
- Enter Context: Paste or type your Swahili passage in the "Context" text area.
- Enter Question: Type your question about the context in the "Question" field.
- Get Answer: Click "Get Answer" to generate an abstractive answer.
Model Details
- Base Model: mT5-base (~580M parameters)
- Training Data: KenSwQuAD dataset (Kenyan Swahili)
- Task: Abstractive Question Answering (seq2seq)
Notes
- Supports both GPU and CPU inference (GPU recommended for faster responses).
- Maximum context length: 1024 tokens (longer inputs will be truncated).
- Generated answers are limited to 128 tokens.
Privacy
User submissions (context, question, answer) are logged for model evaluation purposes. Logs are retained temporarily and reviewed by administrators only.
Built with ❤️ for Swahili NLP
