https://github.com/afrid1045/t5-text-summarization
This project outlines the step-by-step process of fine-tuning and using a T5 Transformer model for text summarization using HuggingFace. It's designed as a learning project to understand tokenizer behavior, sequence-to-sequence modeling, training loops, inference, and practical usage of Transformers in NLP.
https://github.com/afrid1045/t5-text-summarization
deep-learning fine-tuning huggingface machine-learning nlp pytorch sequence-to-sequence t5 text-summarization transformers
Last synced: about 1 month ago
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This project outlines the step-by-step process of fine-tuning and using a T5 Transformer model for text summarization using HuggingFace. It's designed as a learning project to understand tokenizer behavior, sequence-to-sequence modeling, training loops, inference, and practical usage of Transformers in NLP.
- Host: GitHub
- URL: https://github.com/afrid1045/t5-text-summarization
- Owner: Afrid1045
- Created: 2025-03-23T17:49:15.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-23T18:01:51.000Z (about 1 year ago)
- Last Synced: 2025-03-23T19:19:44.371Z (about 1 year ago)
- Topics: deep-learning, fine-tuning, huggingface, machine-learning, nlp, pytorch, sequence-to-sequence, t5, text-summarization, transformers
- Language: Jupyter Notebook
- Homepage:
- Size: 447 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0