metadata
library_name: generic
tags:
- summarization
license: mit
Model Description
This is the project for the course Multimedia System in Leiden University 2023 fall. The model is part of self-designed software for the final project that summarizes short texts. The original summarization model is from https://towardsdatascience.com/text-summarization-with-gpt2-and-layer-ai-599625085d8e .
Training Datasets
- Amazon review dataset
- Twitter crawler dataset
- Emotion analysis dataset
- Kindle review dataset
TODO
- Improve training data quality
- Model analysis
- Inference development
Interface
import requests
API_URL = "https://api-inference.huggingface.co/models/Lin0He/text-summary-gpt2-short"
headers = {"Authorization": "Bearer <Your API tokens>"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.json()
output = query({
"inputs": "Today was a beautiful day. I have down all my homework, and baked some cookies with my friends. What a lovely day."
})
print(output)