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multi-lang_summay
vatsal18/multi-lang_summay
multi-lang_summay is a summarization model from vatsal18. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
Fine-tuned seq2seq model for multilingual abstractive summarization.
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Aug 24, 2025
- Updated
- Sep 2, 2025
- SHA
- 240d99ca
Model card
From the Hugging Face model README
multi-lang_summay
Fine-tuned seq2seq model for multilingual abstractive summarization.
Usage
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import torch
repo_id = "vatsal18/multi-lang_summay"
tok = AutoTokenizer.from_pretrained(repo_id)
mdl = AutoModelForSeq2SeqLM.from_pretrained(repo_id).eval()
text = "Paste any article (any supported language) here."
enc = tok(text, return_tensors="pt", truncation=True, max_length=1024)
with torch.no_grad():
out = mdl.generate(**enc, max_new_tokens=128, num_beams=4, length_penalty=0.8)
print(tok.decode(out[0], skip_special_tokens=True))
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Languages
- multilingual
- Created
- Aug 24, 2025
- Updated
- Sep 2, 2025