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Download README.md from Babyloncoder/Questions-and-Answers-from-Context: direct link, hf CLI and curl.
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https://huggingface.co/spaces/Babyloncoder/Questions-and-Answers-from-Context/resolve/main/README.md
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hf download hf://spaces/Babyloncoder/Questions-and-Answers-from-Context/README.md
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curl -L -o README.md https://huggingface.co/spaces/Babyloncoder/Questions-and-Answers-from-Context/resolve/main/README.md
699 Bytes
| title: Questions And Answers From Context | |
| emoji: 🐢 | |
| colorFrom: gray | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 4.22.0 | |
| app_file: app.py | |
| pinned: false | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| Explanation: | |
| The script sets up a question-answering pipeline with the "Intel/dynamic_tinybert" model using Hugging Face Transformers. | |
| It defines a function answer_question to process the context and question inputs and format the answer in red font using HTML. | |
| The Gradio interface is created with two text input boxes for context and question, and an HTML output box for the answer. | |
| The interface launches automatically when the script is run. |