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  2. README.md +12 -15
  3. requirements.txt +0 -0
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- # Hugging Face Text Summarization Example with CI/CD
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- This repository contains a practice example of text summarization using Hugging Face Transformers, demonstrating CI/CD techniques for automated testing and deployment.
 
 
 
 
 
 
 
 
 
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- ## Overview
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- The project uses Hugging Face's transformers library to perform text summarization tasks. It includes a basic setup for CI/CD using GitHub Actions to automate testing and deployment processes.
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-
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- ## Features
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- Text summarization using pre-trained models from Hugging Face Transformers.
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- Automated testing and linting with GitHub Actions.
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- Deployment pipeline to automatically deploy updates.
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- Getting Started
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- To get started with this project, follow these steps:
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-
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- ## Prerequisites
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- Python 3.x installed on your local machine.
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- GitHub account for version control and CI/CD.
 
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+ ---
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+ title: Hugginface Example
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+ emoji: 💻
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+ colorFrom: yellow
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+ colorTo: gray
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+ sdk: gradio
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+ sdk_version: 4.37.2
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+ app_file: app.py
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+ pinned: false
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+ license: apache-2.0
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+ ---
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
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