Spaces:
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title: Question Answering | |
emoji: 🏢 | |
colorFrom: pink | |
colorTo: yellow | |
sdk: gradio | |
sdk_version: 3.50.2 | |
app_file: app.py | |
pinned: false | |
license: apache-2.0 | |
Check out the configuration reference at https://huggingface.co./docs/hub/spaces-config-reference | |
# Question Answering with Hugging Face Transformers and Gradio | |
This project provides a user-friendly interface for performing question-answering tasks using Hugging Face Transformers and Gradio. Users can input a question and a context paragraph, and the model will generate an answer. | |
## Getting Started | |
### Prerequisites | |
Before running the application, make sure you have Python and the required packages installed: | |
- Python 3.6+ | |
- Hugging Face Transformers | |
- Gradio | |
- Datasets | |
You can install the necessary Python packages using `pip`: | |
```shell | |
pip install transformers gradio datasets | |
``` |