Mahmoud Amiri
update readme file
f56d332
|
raw
history blame
649 Bytes
metadata
title: Lit2Vec TL;DR Summarizer
emoji: 🧪
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
hf_oauth: true
hf_oauth_scopes:
  - inference-api
short_description: TL;DR summarizer for chemistry research abstracts

Lit2Vec TL;DR is an abstractive summarization tool for chemistry research abstracts, built using Gradio and a fine-tuned DistilBART model. It generates concise, structured summaries capturing the methods, results, and significance of scientific papers. 🔬 Model: Bocklitz-Lab/lit2vec-tldr-bart-model