{"id":21383248,"url":"https://github.com/sreeeswaran/text-summarization-using-bart","last_synced_at":"2026-01-05T11:05:20.481Z","repository":{"id":245607601,"uuid":"818743373","full_name":"SreeEswaran/Text-Summarization-using-BART","owner":"SreeEswaran","description":"This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.","archived":false,"fork":false,"pushed_at":"2024-09-07T17:27:04.000Z","size":12,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-09-07T18:45:30.408Z","etag":null,"topics":["auto-regressive-model","auto-regressive-transformers","bart","bidirectional","model","text","text-generation","text-summarization","transformer","transformer-model","transformers"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SreeEswaran.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-22T18:23:02.000Z","updated_at":"2024-09-07T17:27:08.000Z","dependencies_parsed_at":"2024-09-07T18:43:34.745Z","dependency_job_id":"271a03a6-b2da-4b46-85a7-8a070a1b5e37","html_url":"https://github.com/SreeEswaran/Text-Summarization-using-BART","commit_stats":null,"previous_names":["sreeeswaran/text-summarization-using-bart"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SreeEswaran%2FText-Summarization-using-BART","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SreeEswaran%2FText-Summarization-using-BART/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SreeEswaran%2FText-Summarization-using-BART/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SreeEswaran%2FText-Summarization-using-BART/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SreeEswaran","download_url":"https://codeload.github.com/SreeEswaran/Text-Summarization-using-BART/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225887299,"owners_count":17539953,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["auto-regressive-model","auto-regressive-transformers","bart","bidirectional","model","text","text-generation","text-summarization","transformer","transformer-model","transformers"],"created_at":"2024-11-22T11:21:05.849Z","updated_at":"2026-01-05T11:05:20.410Z","avatar_url":"https://github.com/SreeEswaran.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Text Summarization using BART\n\nThis project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.\n\n## Features\n\n- **Text Preprocessing**: Load and preprocess text data.\n- **Summarization Model**: A BART model for text summarization.\n- **Training Script**: Train the model with text data.\n- **Summarization Script**: Generate text summaries using the trained model.\n- **Results Visualization**: Save and view generated summaries.\n\n## Setup\n\n1. Clone the repository and install dependencies:\n  \n  ```bash\n  git clone https://github.com/SreeEswaran/Text-Summarization-using-BART.git\n  cd Text-Summarization-using-BART\n  ```\n\n2. Install the dependencies\n   \n   ```bash\n   pip install -r requirements.txt\n   ```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsreeeswaran%2Ftext-summarization-using-bart","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsreeeswaran%2Ftext-summarization-using-bart","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsreeeswaran%2Ftext-summarization-using-bart/lists"}