ashbix23/text-summarisation-hf

Scientific Paper Summarizer

This Space hosts a fine-tuned BART-base model trained on the scientific_papers/arxiv dataset. It generates concise summaries of scientific abstracts and sections using the model:

Model: ashbeexd/bart-summariser-model

How to Use

1. 1.Paste or type any research abstract or paper section in the input box.
2. 2.Adjust the sliders for summary length and beam search width.
3. 3.Click Summarize to generate the condensed version.

Example

Input:

Quantum entanglement is a physical phenomenon where particles become interconnected...

Output:

This paper explores quantum entanglement's implications for quantum computing.

Model Performance (Validation Results)

Developed as part of an end-to-end NLP pipeline demonstrating model fine-tuning, evaluation, and deployment on Hugging Face Spaces.